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参考文献リスト
| タイトル | 著者名 | 年 | 出版情報 | リンク |
|---|---|---|---|---|
| TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems | Abadi, Martín, Agarwal, Ashish, Barham, Paul, Brevdo, Eugene, Chen, Zhifeng, et al | 2015 | Software available from tensorflow.org. | arxiv |
| Friends and neighbors on the Web | Adamic, Lada A, and Adar, Eytan | 2003 | Social networks, 25(3), 211-230. | リンク |
| PAIRpred: Partner-specific prediction of interacting residues from sequence and structure | Afsar Minhas, Fayyaz ul Amir, Geiss, Brian J, and Ben-Hur, Asa | 2014 | Proteins: Structure, Function, and Bioinformatics, 82(7), 1142-1155. | リンク |
| Linear Algebra and Optimization for Machine Learning | Aggarwal, Charu C | 2020 | Springer. | amazon |
| Neural Networks and Deep Learning | Aggarwal, Charu C | 2023 | Springer. | amazon |
| Learning to Represent Programs with Graphs | Allamanis, Miltiadis, Brockschmidt, Marc, and Khademi, Mahmoud | 2017 | International Conference on Learning Representations. | arxiv |
| Local Graph Partitioning using PageRank Vectors | Andersen, Reid, Chung, Fan, and Lang, Kevin | 2006 | Pages 475-486 of: 2006 47th Annual IEEE Symposium on Foundations of Computer Science (FOCS’06). IEEE. | |
| Diffusion-Convolutional Neural Networks | Atwood, James, and Towsley, Don | 2016 | Pages 1993-2001 of: Advances in Neural Information Processing Systems. | arxiv |
| Graph Isomorphism in Quasipolynomial Time | Babai, László | 2016 | Pages 684-697 of: Proceedings of the Forty-Eighth annual ACM symposium on Theory of Computing. | arxiv |
| Neural Machine Translation by Jointly Learning to Align and Translate | Bahdanau, Dzmitry, Cho, Kyunghyun, and Bengio, Yoshua | 2014 | 3rd In-ternational Conference on Learning Representations, (ICLR) 2015, San Diego, CA, USA, May7-9, 2015, Conference Track Proceedings. | arxiv |
| Hypergraph Convolution and Hypergraph Attention | Bai, Song, Zhang, Feihu, and Torr, Philip HS | 2019 | Pattern Recognition, 110, 107637. | arxiv |
| Abstract Meaning Representation for Sembanking | Banarescu, Laura, Bonial, Claire, Cai, Shu, Georgescu, Madalina, Griffitt, Kira, et al | 2013 | Pages 178-186 of: Proceedings of the 7th Linguistic Annotation Workshop and Interoperability with Discourse. | |
| Graph Convolutional Encoders for Syntax-aware Neural Machine Translation | Bastings, Jasmijn, Titov, Ivan, Aziz, Wilker, Marcheggiani, Diego, and Sima’an, Khalil | 2017 | Pages 1957-1967 of: Proceedings of the 2017 Confer-ence on Empirical Methods in Natural Language Processing. | arxiv |
| Relational inductive biases, deep learning, and graph networks | Battaglia, Peter W, Hamrick, Jessica B, Bapst, Victor, Sanchez-Gonzalez, Alvaro, Zambaldi, et al | 2018 | arXiv preprint arXiv:1806.01261. | arxiv |
| Interaction Networks for Learning about Objects, Relations and Physics | Battaglia, Peter W, Pascanu, Razvan, Lai, Matthew, Rezende, Danilo Jimenez, et al | 2016 | Pages 4502-4510 of: Advances in Neural Information Processing Systems. | arxiv |
| Heterogeneous Hyper-Network Embedding | Baytas, Inci M, Xiao, Cao, Wang, Fei, Jain, Anil K, and Zhou, Jiayu | 2018 | Pages 875-880 of: 2018 IEEE International Conference on Data Mining (ICDM). IEEE. | リンク |
| Graph-to-Sequence Learning using Gated Graph Neural Networks | Beck, Daniel, Haffari, Gholamreza, and Cohn, Trevor | 2018 | Pages 273-283 of: Proceedings of the 56th Annual Meeting of the Association for Compu-tational Linguistics: Vol. 1. Long Papers. | arxiv |
| Laplacian Eigenmaps for Dimensionality Reduction and Data Representation | Belkin, Mikhail, and Niyogi, Partha | 2003 | Neural computation, 15(6), 1373-1396. | |
| Graph Convolutional Matrix Completion | Berg, Rianne van den, Kipf, Thomas N, and Welling, Max | 2017 | arXiv preprint arXiv:1706.02263. | arxiv |
| Link Prediction in Criminal Networks: A Tool for Criminal Intelligence Analysis | Berlusconi, Giulia, Calderoni, Francesco, Parolini, Nicola, Verani, Marco, and Piccardi, Carlo | 2016 | PLoS one, 11(4), e0154244. | リンク |
| Node Classification in Social Networks | Bhagat, Smriti, Cormode, Graham, and Muthukrishnan, S | 2011 | Pages 115-148 of: Social network data analytics. Springer. | arxiv |
| Pattern Recognition and Machine Learning | Bishop, Christopher M | 2006 | Springer. | amazon amazon amazon |
| Some unique properties of eigenvector centrality | Bonacich, Phillip | 2007 | Social Networks, 29(4), 555-564. | リンク |
| Factoring and weighting approaches to status scores and clique identification | Bonacich, Phillip | 1972 | Journal of mathematical sociology, 2(1), 113-120. | リンク |
| Chemical Graph Theory: Introduction and Fundamentals | Bonchev, Danail | 1991 | Vol. 1. CRC Press. | amazon |
| Graph Theory with Applications | Bondy, John Adrian, et al | 1977 | Vol. 290. | amazon |
| Network Analysis in the Social Sciences | Borgatti, Stephen P, Mehra, Ajay, Brass, Daniel J, and Labianca, Giuseppe | 2009 | Science, 323(5916), 892-895. | リンク |
| Learning social network embeddings for predicting information diffusion | Bourigault, Simon, Lagnier, Cedric, Lamprier, Sylvain, Denoyer, Ludovic, and Gallinari, Patrick | 2014 | Pages 393-402 of: Proceedings of the 7th ACM International Conference on Web Search and Data Mining. | リンク |
| Convex Optimization | Boyd, Stephen, Boyd, Stephen P, and Vandenberghe, Lieven | 2004 | Cambridge University Press. | リンク |
| The Fourier Transform and Its Applications | Bracewell, Ronald Newbold | 1978 | Vol. 31999. | amazon |
| Spectral Networks and Locally Connected Networks on Graphs | Bruna, Joan, Zaremba, Wojciech, Szlam, Arthur, and LeCun, Yann | 2013 | arXiv preprint arXiv:1312.6203. | arxiv |
| A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications | Cai, Hongyun, Zheng, Vincent W, and Chang, Kevin Chen-Chuan | 2018 | IEEE Transactions on Knowledge and Data Engineering, 30(9), 1616-1637. | arxiv |
| An Optimal Lower Bound on the Number of Variables for Graph Identification | Cai, Jin-Yi, Fur̈er, Martin, and Immerman, Neil | 1992 | Combinatorica, 12(4), 389-410. | |
| Deep Neural Networks for Learning Graph Representations | Cao, Shaosheng, Lu, Wei, and Xu, Qiongkai | 2016 | Thirtieth AAAI Conference on Artificial Intel ligence. | リンク |
| GraRep: Learning Graph Representations with Global Structural Information | Cao, Shaosheng, Lu, Wei, and Xu, Qiongkai | 2015 | Pages 891-900 of: Pro-ceedings of the 24th ACM International on Conference on Information and knowledge Management. | リンク |
| BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering | Cao, Yu, Fang, Meng, and Tao, Dacheng | 2019 | Pages 357-362 of: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Vol. 1. Long and Short Papers. | arxiv |
| Towards Evaluating the Robustness of Neural Networks | Carlini, Nicholas, and Wagner, David | 2017 | Pages 39-57 of: 2017 IEEE Symposium on Security and Privacy (SP). IEEE. | arxiv |
| Structural balance: a generalization of Heider's theory | Cartwright, Dorwin, and Harary, Frank | 1956 | Psychological Review, 63(5), 277. | |
| Méthode générale pour la résolution des systemes d’équations simultanées. | Cauchy, Augustin. | |||
| Hyperbolic Graph Convolutional Neural Networks | Chami, Ines, Ying, Zhitao, Ré, Christopher, and Leskovec, Jure | 2019 | Pages 4868-4879 of: Advances in Neural Information Processing Systems. | arxiv |
| Spectral Properties of Hypergraph Laplacian and Approximation Algorithms | Chan, T.-H Hubert, Louis, Anand, Tang, Zhihao Gavin, and Zhang, Chenzi | 2018 | Journal of the ACM, 65(3), 15. | arxiv |
| Generalizing the Hypergraph Laplacian via a Diffusion Process with Mediators | Chan, T.-H Hubert, and Liang, Zhibin | 2019 | Theoretical Computer Science, 806, 416-428. | arxiv |
| Heterogeneous Network Embedding via Deep Architectures | Chang, Shiyu, Han, Wei, Tang, Jiliang, Qi, Guo-Jun, Aggarwal, Charu C, and Huang, Thomas S | 2015 | Pages 119-128 of: Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. | リンク |
| Anomaly Detection using Graph Neural Networks | Chaudhary, Anshika, Mittal, Himangi, and Arora, Anuja | 2019 | Pages 346-350 of: 2019 Inter-national Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon). IEEE. | リンク |
| Stochastic Training of Graph Convolutional Networks with Variance Reduction | Chen, Jianfei, Zhu, Jun, and Song, Le | 2018a | Pages 941-949 of: Inter-national Conference on Machine Learning. | arxiv |
| FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling | Chen, Jie, Ma, Tengfei, and Xiao, Cao | 2018b | International Con-ference on Learning Representations. | arxiv |
| Knowledge-Embedded Routing Network for Scene Graph Generation | Chen, Tianshui, Yu, Weihao, Chen, Riquan, and Lin, Liang | 2019a | Pages 6163-6171 of: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. | arxiv |
| Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification | Chen, Ting, and Sun, Yizhou | 2017 | Pages 295-304 of: Proceedings of the Tenth ACM International Conference on Web Search and Data Mining. | arxiv |
| ActiveHNE: Active Heterogeneous Network Embedding | Chen, Xia, Yu, Guoxian, Wang, Jun, Domeniconi, Carlotta, Li, Zhao, and Zhang, Xiangliang | 2019b | Pages 2123-2129 of: International Joint Conferences on Artificial Intelligence Organization. | arxiv |
| Multi-Label Image Recognition with Graph Convolutional Networks | Chen, Zhao-Min, Wei, Xiu-Shen, Wang, Peng, and Guo, Yanwen | 2019c | Pages 5177-5186 of: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. | arxiv |
| Supervised Community Detection with Line Graph Neural Networks | Chen, Zhengdao, Li, Xiang, and Bruna, Joan | 2017 | International Conference on Learning Representations. | arxiv |
| Unsupervised Feature Selection in Signed Social Networks | Cheng, Kewei, Li, Jundong, and Liu, Huan | 2017 | Pages 777-786 of: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. | リンク |
| Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks | Chiang, Wei-Lin, Liu, Xuanqing, Si, Si, Li, Yang, Bengio, Samy, et al | 2019 | Pages 257-266 of: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Min-ing. | arxiv |
| Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation | Cho, Kyunghyun, Van Merriënboer, Bart, Gulcehre, Caglar, Bahdanau, Dzmitry, Bougares, Fethi, et al | 2014a | Pages 1724-1734 of: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). | arxiv |
| Finding Matches in a Haystack: A Max-Pooling Strategy for Graph Matching in the Presence of Outliers | Cho, Minsu, Sun, Jian, Duchenne, Olivier, and Ponce, Jean | 2014b | Pages 2083-2090 of: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. | リンク |
| Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer | Choi, Edward, Xu, Zhen, Li, Yujia, Dusenberry, Michael, Flores, Gerardo, Xue, Emily, and Dai, Andrew | 2020 | Pages 606-613 of: Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 34. | arxiv |
| Spectral Graph Theory | Chung, Fan R.K., and Graham, Fan Chung | 1997 | American Mathematical Society. | amazon |
| Structural Neural Encoders for AMR-to-text Generation | Cohen, Marco Damonte Shay B | 2019 | Pages 3649-3658 of: Proceedings of NAACL-HLT. | arxiv |
| A Survey on Network Embedding | Cui, Peng, Wang, Xiao, Pei, Jian, and Zhu, Wenwu | 2018 | IEEE Transactions on Knowledge and Data Engineering, 31(5), 833-852. | arxiv |
| Sitting closer to friends than enemies, revisited | Cygan, Marek, Pilipczuk, Marcin, Pilipczuk, Michał, and Wojtaszczyk, Jakub Onufry | 2012 | Pages 296-307 of: International Symposium on Mathematical Foundations of Computer Science. Springer. | arxiv |
| Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine | Dahl, George, Ranzato, Marc’Aurelio, Mohamed, Abdel-rahman, and Hinton, Geoffrey E | 2010 | Pages 469-477 of: Advances in Neural Information Processing Systems. | リンク |
| Adversarial Attack on Graph Structured Data | Dai, Hanjun, Li, Hui, Tian, Tian, Huang, Xin, Wang, Lin, et al | 2018 | Proceedings of the 35th Inter-national Conference on Machine Learning, PMLR, Vol. 80. | arxiv |
| Structural Neural Encoders for AMR-to-text Generation | Damonte, Marco, and Cohen, Shay B | 2019 | Pages 3649-3658 of: Proceedings of NAACL-HLT. | arxiv |
| Question Answering by Reasoning Across Documents with Graph Convolutional Networks | De Cao, Nicola, Aziz, Wilker, and Titov, Ivan | 2019 | Pages 2306-2317 of : Proceedings of the 2019 Conference of the North Amer-ican Chapter of the Association for Computational Linguistics: Human Language Technologies: Vol. 1. Long and Short Papers. | arxiv |
| MolGAN: An implicit generative model for small molecular graphs | De Cao, Nicola, and Kipf, Thomas | 2018 | arXiv preprint arXiv:1805.11973. | arxiv |
| Indexing by Latent Semantic Analysis | Deerwester, Scott, Dumais, Susan T, Furnas, George W, Landauer, Thomas K, and Harshman, Richard | 1990 | Journal of the American Society for Information Science, 41(6), 391-407. | |
| Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering | Defferrard, Michaël, Bresson, Xavier, and Vandergheynst, Pierre | 2016 | Pages 3844-3852 of: Advances in Neural Information Processing Systems. | arxiv |
| Binary Coding of Speech Spectrograms Using a Deep Auto-encoder | Deng, Li, Seltzer, Michael L, Yu, Dong, Acero, Alex, Mohamed, Abdel-rahman, and Hinton, Geoff | 2010 | Eleventh Annual Conference of the Interna-tional Speech Communication Association. | リンク |
| Deep Learning in Natural Language Processing | Deng, Li, and Liu, Yang | 2018 | Springer. | amazon |
| Signed Graph Convolutional Network | Derr, Tyler, Ma, Yao, and Tang, Jiliang | 2018 | Pages 929-934 of: 2018 IEEE International Conference on Data Mining (ICDM). IEEE. | arxiv |
| BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding | Devlin, Jacob, Chang, Ming-Wei, Lee, Kenton, and Toutanova, Kristina | 2018 | Pages 4171-4186 of: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). | arxiv |
| Weighted Graph Cuts without Eigenvectors: A Multilevel Approach | Dhillon, Inderjit S, Guan, Yuqiang, and Kulis, Brian | 2007 | IEEE transactions on pattern analysis and machine intelligence, 29(11), 1944-1957. | |
| The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism | Di Martino, Adriana, Yan, Chao-Gan, Li, Qingyang, Denio, Erin, Castel-lanos, Francisco X, Alaerts, Kaat, Anderson, Jeffrey S, Assaf, Michal, Bookheimer, Susan Y, Dapretto, Mirella, et al | 2014 | Molecular psychiatry, 19(6), 659-667. | リンク |
| metapath2vec: Scalable Representation Learning for Heterogeneous Networks | Dong, Yuxiao, Chawla, Nitesh V, and Swami, Ananthram | 2017 | Pages 135-144 of: Proceedings of the 23rd ACM SIGKDD international conference on knowledge discovery and data mining. ACM. | リンク |
| Adaptive Subgradient Methods for Online Learning and Stochastic Optimization | Duchi, John, Hazan, Elad, and Singer, Yoram | 2011 | Journal of Ma-chine Learning Research, 12(a), 2121-2159. | リンク |
| Convolutional Networks on Graphs for Learning Molecular Fingerprints | Duvenaud, David K, Maclaurin, Dougal, Iparraguirre, Jorge, Bombarell, Rafael, Hirzel, Timothy, et al | 2015 | Pages 2224-2232 of: Advances in Neu-ral Information Processing Systems. | arxiv |
| All You Need Is Low (Rank): Defending Against Adversarial Attacks on Graphs | Entezari, Negin, Al-Sayouri, Saba A, Darvishzadeh, Amirali, and Papalexakis, Evangelos E | 2020 | Pages 169-177 of: Proceedings of the 13th International Conference on Web Search and Data Mining. | リンク |
| Graph Neural Networks for Social Recommendation | Fan, Wenqi, Ma, Yao, Li, Qing, He, Yuan, Zhao, Eric, et al | 2019 | Pages 417-426 of: The World Wide Web Conference. ACM. | arxiv |
| An Introduction to Probability Theory and Its Applications | Feller, William | 1957 | Wiley. | amazon |
| Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure | Feng, Fuli, He, Xiangnan, Tang, Jie, and Chua, Tat-Seng | 2019a | IEEE Transactions on Knowledge and Data Engineering. 1. | arxiv |
| Hypergraph Neural Networks | Feng, Yifan, You, Haoxuan, Zhang, Zizhao, Ji, Rongrong, and Gao, Yue | 2019b | Pages 3558-3565 of: Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 33. | arxiv |
| Structured Neural Summarization | Fernandes, Patrick, Allamanis, Miltiadis, and Brockschmidt, Marc | 2018 | International Conference on Learning Representations. | arxiv |
| Fast Graph Representation Learning with PyTorch Geometric | Fey, Matthias, and Lenssen, Jan E | 2019 | ICLR Workshop on Representation Learning on Graphs and Manifolds. | arxiv |
| Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks | Finn, Chelsea, Abbeel, Pieter, and Levine, Sergey | 2017 | Pages 1126-1135 of: Pro-ceedings of the 34th International Conference on Machine Learning. Vol. 70. | arxiv |
| Random-Walk Computation of Similarities between Nodes of a Graph with Application to Collaborative Recommendation | Fouss, Francois, Pirotte, Alain, Renders, Jean-Michel, and Saerens, Marco | 2007 | IEEE Transactions on Knowledge and Data Engineering, 19(3), 355-369. | リンク |
| Protein Interface Prediction using Graph Convolutional Networks | Fout, Alex, Byrd, Jonathon, Shariat, Basir, and Ben-Hur, Asa | 2017 | Pages 6530-6539 of: Advances in Neural Information Processing Systems. | リンク |
| Über Matrizen aus nicht negativen Elementen | Frobenius, Georg, Frobenius, Ferdinand Georg, Frobenius, Ferdinand Georg, Frobenius, Ferdinand Georg, and Mathematician, Germany | 1912 | ||
| GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction | Fu, Tsu-Jui, Li, Peng-Hsuan, and Ma, Wei-Yun | 2019 | Pages 1409-1418 of: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. | リンク |
| Large-Scale Learnable Graph Convolutional Networks | Gao, Hongyang, Wang, Zhengyang, and Ji, Shuiwang | 2018a | Pages 1416-1424 of: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Dis-covery & Data Mining. | arxiv |
| Kronecker Attention Networks | Gao, Hongyang, Wang, Zhengyang, and Ji, Shuiwang | 2020 | Pages 229-237 of: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. | arxiv |
| Graph U-Nets | Gao, Hongyang, and Ji, Shuiwang | 2019 | Pages 2083-2092 of: Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA. | arxiv |
| BiNE: Bipartite Network Embedding | Gao, Ming, Chen, Leihui, He, Xiangnan, and Zhou, Aoying | 2018b | Pages 715-724 of: The 41st International ACM SIGIR Conference on Research & Development in Information Re-trieval. | |
| Computers and Intractability: A Guide to the Theory of Np-Completeness | Garey, Michael R, and Johnson, David S | 1979 | W.H. Freeman and Company. | amazon |
| Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning | Gidaris, Spyros, and Komodakis, Nikos | 2019 | Pages 21-30 of: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. | arxiv |
| Neural Message Passing for Quantum Chemistry | Gilmer, Justin, Schoenholz, Samuel S., Riley, Patrick F., Vinyals, Oriol, and Dahl, George E | 2017 | Pages 1263-1272 of: Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017. | arxiv |
| Using collaborative filtering to weave an information tapestry | Goldberg, David, Nichols, David, Oki, Brian M, and Terry, Douglas | 1992 | Communications of the ACM, 35(12), 61-70. | リンク |
| Eigentaste: A Constant Time Collaborative Filtering Algorithm | Goldberg, Ken, Roeder, Theresa, Gupta, Dhruv, and Perkins, Chris | 2001 | Information Retrieval, 4(2), 133-151. | リンク |
| A Primer on Neural Network Models for Natural Language Processing | Goldberg, Yoav | 2016 | Journal of Artificial Intelligence Research, 57, 345-420. | arxiv |
| Explaining and Harnessing Adversarial Examples | Goodfellow, Ian J, Shlens, Jonathon, and Szegedy, Christian | 2014b | International Conference on Learning Representation. | arxiv |
| Deep Learning | Goodfellow, Ian, Bengio, Yoshua, and Courville, Aaron | 2016 | The MIT Press. | amazon amazon |
| Generative Adversarial Nets | Goodfellow, Ian, Pouget-Abadie, Jean, Mirza, Mehdi, Xu, Bing, Warde-Farley, David, et al | 2014a | Pages 2672-2680 of: Advances in Neural Information Processing Systems. | arxiv |
| Graph Embedding Techniques, Applications, and Performance: A Survey | Goyal, Palash, and Ferrara, Emilio | 2018 | Knowledge-Based Systems, 151, 78-94. | arxiv |
| node2vec: Scalable Feature Learning for Networks | Grover, Aditya, and Leskovec, Jure | 2016 | Pages 855-864 of: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM. | arxiv |
| Towards Feature Selection in Networks | Gu, Quanquan, and Han, Jiawei | 2011 | Pages 1175-1184 of: Proceedings of the 20th ACM International Conference on Information and Knowledge Management. | リンク |
| RaRE: Social Rank Regulated Large-scale Network Embedding | Gu, Yupeng, Sun, Yizhou, Li, Yanen, and Yang, Yang | 2018 | Pages 359-368 of: Proceedings of the 2018 World Wide Web Conference. | リンク |
| Attention Guided Graph Convolutional Networks for Relation Extraction | Guo, Zhijiang, Zhang, Yan, and Lu, Wei | 2019 | Pages 241-251 of: Asso-ciation for Computational Linguistics. | arxiv |
| Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics | Gutmann, Michael U, and Hyvärinen, Aapo | 2012 | Journal of Machine Learning Research, 13, 307-361. | リンク |
| Exploring Network Structure, Dynamics, and Function using NetworkX | Hagberg, Aric, Swart, Pieter, and S Chult, Daniel | 2008 | Technical Report, Los Alamos National Laboratory, Los Alamos, NM. | リンク |
| Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach | Hamaguchi, Takuo, Oiwa, Hidekazu, Shimbo, Masashi, and Matsumoto, Yuji | 2017 | Pages 1802-1808 of: Proceedings of the 26th Inter-national Joint Conference on Artificial Intelligence. AAAI Press. | arxiv |
| Inductive Representation Learning on Large Graphs | Hamilton, Will, Ying, Zhitao, and Leskovec, Jure | 2017a | Pages 1024-1034 of: Advances in Neural Information Processing Systems. | arxiv |
| Representation Learning on Graphs: Methods and Applications | Hamilton, William L, Ying, Rex, and Leskovec, Jure | 2017b | arXiv preprint arXiv:1709.05584. | arxiv |
| Deep Self-Learning From Noisy Labels | Han, Jiangfan, Luo, Ping, and Wang, Xiaogang | 2019 | Pages 5138-5147 of: Proceedings of the IEEE International Conference on Computer Vision. | arxiv |
| Data Mining: Concepts and Techniques | Han, Jiawei, Pei, Jian, and Kamber, Micheline | 2022 | Elsevier. | amazon |
| Cascade-BGNN: Toward Efficient Self-supervised Representation Learning on Large-scale Bipartite Graphs | He, Chaoyang, Xie, Tian, Rong, Yu, Huang, Wenbing, Li, Yanfang, et al | 2019 | arXiv preprint arXiv:1906.11994. | arxiv |
| Deep Residual Learning for Image Recognition | He, Kaiming, Zhang, Xiangyu, Ren, Shaoqing, and Sun, Jian | 2016 | Pages 770-778 of: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. | arxiv |
| Attitudes and Cognitive Organization | Heider, Fritz | 1946 | The Journal of Psychology, 21(1), 107-112. | |
| Long Short-Term Memory | Hochreiter, Sepp, and Schmidhuber, Jürgen | 1997 | Neural Computation, 9(8), 1735-1780. | |
| Linear Algebra | Hoffman, Kenneth, and Kunze, Ray | 2015 | Pearson Education India. | amazon |
| Strategies for Pre-training Graph Neural Networks | Hu, Weihua, Liu, Bowen, Gomes, Joseph, Zitnik, Marinka, Liang, Percy, Pande, Vijay, and Leskovec, Jure | 2020b | International Conference on Learning Representations. | arxiv |
| GPT-GNN: Generative Pre-Training of Graph Neural Networks | Hu, Ziniu, Dong, Yuxiao, Wang, Kuansan, Chang, Kai-Wei, and Sun, Yizhou | 2020a | Pages 1857-1867 of: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. | arxiv |
| Pre-Training graph neural networks for generic structural feature extraction | Hu, Ziniu, Fan, Changjun, Chen, Ting, Chang, Kai-Wei, and Sun, Yizhou | 2019 | arXiv prepring arXiv:1905.13728 | arxiv |
| Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks | Huang, Qiang, Xia, Tingyu, Sun, Huiyan, Yamada, Makoto, and Chang, Yi | 2020 | Pages 4182-4189 of: Proceedings of the AAAI Conference on Artificial Intelligence. | リンク |
| Adaptive Sampling Towards Fast Graph Representation Learning | Huang, Wenbing, Zhang, Tong, Rong, Yu, and Huang, Junzhou | 2018 | Pages 4558-4567 of: Advances in Neural Information Processing Systems. | arxiv |
| Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift | Ioffe, Sergey, and Szegedy, Christian | 2015 | Pages 448-456 of: Proceedings of the 32nd International Conference on Machine Learning. | arxiv |
| Graph Neural Network for Music Score Data and Modeling Expressive Piano Performance | Jeong, Dasaem, Kwon, Taegyun, Kim, Yoojin, and Nam, Juhan | 2019 | Pages 3060-3070 of: International Conference on Machine Learn-ing. | リンク |
| Dynamic Hypergraph Neural Networks | Jiang, Jianwen, Wei, Yuxuan, Feng, Yifan, Cao, Jingxuan, and Gao, Yue | 2019 | Pages 2635-2641 of: Interna-tional Joint Conferences on Artificial Intelligence Organization. | リンク |
| Latent Adversarial Training of Graph Convolution Networks | Jin, Hongwei, and Zhang, Xinhua | 2019 | ICML Workshop on Learning and Reasoning with Graph-Structured Representations. | |
| Self-supervised Learning on Graphs: Deep Insights and New Direction | Jin, Wei, Derr, Tyler, Liu, Haochen, Wang, Yiqi, Wang, Suhang, Liu, Zitao, and Tang, Jiliang | 2020c | arXiv preprint arXiv:2006.10141. | arxiv |
| Adversarial Attacks and Defenses on Graphs: A Review, A Tool and Empirical Studies | Jin, Wei, Li, Yaxin, Xu, Han, Wang, Yiqi, and Tang, Jiliang | 2020a | arXiv preprint arXiv:2003.00653. | arxiv |
| Graph Structure Learning for Robust Graph Neural Networks | Jin, Wei, Ma, Yao, Liu, Xiaorui, Tang, Xianfeng, Wang, Suhang, et al | 2020b | arXiv preprint arXiv:2005.10203. | arxiv |
| Junction Tree Variational Autoencoder for Molecular Graph Generation | Jin, Wengong, Barzilay, Regina, and Jaakkola, Tommi | 2018 | Pages 2323-2332 of: Proceedings of the 35th International Conference on Machine Learning. | arxiv |
| An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem | Joshi, Chaitanya K, Laurent, Thomas, and Bresson, Xavier | 2019 | arXiv preprint arXiv:1906.01227. | arxiv |
| International encyclopedia of statistical science: Kullback-Leibler Divergence | Joyce, James M | 2011 | Springer, 720-722. | リンク |
| Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition | Jurafsky, Daniel, and Martin, James H | 2000 | Prentice Hall. | amazon |
| Deep Learning for NLP and Speech Recognition | Kamath, Uday, Liu, John, and Whitaker, James | 2019 | Vol. 84. Springer. | amazon |
| Rethinking Knowledge Graph Propagation for Zero-Shot Learning | Kampffmeyer, Michael, Chen, Yinbo, Liang, Xiaodan, Wang, Hao, Zhang, Yujia, and Xing, Eric P | 2019 | Pages 11487-11496 of: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. | arxiv |
| Brain connectivity in autism | Kana, Rajesh K, Uddin, Lucina Q, Kenet, Tal, Chugani, Diane, and Mul̈ler, Ralph-Axel | 2014 | Frontiers in Human Neuroscience, 8, 349. | リンク |
| A fast and high quality multilevel scheme for partitioning irregular graphs | Karypis, George, and Kumar, Vipin | 1998 | SIAM Journal on scientific Computing, 20(1), 359-392. | リンク |
| Deep Generative Probabilistic Graph Neural Networks for Scene Graph Generation | Khademi, Mahmoud, and Schulte, Oliver | 2020 | Pages 11237-11245 of: Proceedings of the AAAI Conference on Artificial Intelligence. | リンク |
| Learning Combinatorial Optimization Algorithms over Graphs | Khalil, Elias, Dai, Hanjun, Zhang, Yuyu, Dilkina, Bistra, and Song, Le | 2017 | Pages 6348-6358 of: Advances in Neural Information Processing Systems. | arxiv |
| Adam: A Method for Stochastic Optimization | Kingma, Diederik P, and Ba, Jimmy | 2014 | arXiv preprint arXiv:1412.6980. | arxiv |
| Auto-Encoding Variational Bayes | Kingma, Diederik P, and Welling, Max | 2013 | arXiv preprint arXiv:1312.6114. | arxiv |
| Semi-Supervised Classification with Graph Convolutional Networks | Kipf, Thomas N, and Welling, Max | 2016a | International Conference on Learning Representations (ICLR). | arxiv |
| Variational Graph Auto-Encoders | Kipf, Thomas N, and Welling, Max | 2016b | arXiv preprint arXiv:1611.07308. | arxiv |
| Neural Relational Inference for Interacting Systems | Kipf, Thomas, Fetaya, Ethan, Wang, Kuan-Chieh, Welling, Max, and Zemel, Richard | 2018 | Pages 2688-2697 of: International Conference on Machine Learning. | arxiv |
| Matrix Factorization Techniques for Recommender Systems | Koren, Yehuda, Bell, Robert, and Volinsky, Chris | 2009 | Computer, 42(8), 30-37. | |
| ImageNet Classification with Deep Convolutional Neural Networks | Krizhevsky, Alex, Sutskever, Ilya, and Hinton, Geoffrey E | 2012 | Pages 1097-1105 of: Advances in Neural Information Processing Systems. | リンク |
| The SIDER database of drugs and side effects | Kuhn, Michael, Letunic, Ivica, Jensen, Lars Juhl, and Bork, Peer | 2016 | Nucleic Acids Research, 44(D1), D1075-D1079. | リンク |
| The Slashdot Zoo: Mining a Social Network with Negative Edges | Kunegis, Jérôme, Lommatzsch, Andreas, and Bauckhage, Christian | 2009 | Pages 741-750 of: Proceedings of the 18th international conference on World wide web. ACM. | arxiv |
| PRUNE: Preserving Proximity and Global Ranking for Network Embedding | Lai, Yi-An, Hsu, Chin-Chi, Chen, Wen Hao, Yeh, Mi-Yen, and Lin, Shou-De | 2017 | Pages 5257-5266 of: Advances in Neural Information Processing Systems. | リンク |
| Modèles connexionnistes de l'apprentissage | Le Cun,Yann, and Fogelman-Soulié, Françoise | 1987 | Intellectica, 2(1), 114-143. | リンク |
| Graph Classification using Structural Attention | Lee, John Boaz, Rossi, Ryan, and Kong, Xiangnan | 2018 | Pages 1666-1674 of: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. | リンク |
| Self-Attention Graph Pooling | Lee, Junhyun, Lee, Inyeop, and Kang, Jaewoo | 2019 | Pages 3734-3743 of: Proceedings of the 36th International Con-ference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA. | arxiv |
| End-to-end Neural Coreference Resolution | Lee, Kenton, He, Luheng, Lewis, Mike, and Zettlemoyer, Luke | 2017 | Pages 641-650 of: Proceedings of the 19th International Conference on World Wide Web. ACM. | arxiv |
| Predicting Positive and Negative Links in Online Social Networks | Leskovec, Jure, Huttenlocher, Daniel, and Kleinberg, Jon | 2010a | Pages 641-650 of: Proceedings of the 19th International Conference on World Wide Web. ACM. | arxiv |
| Signed Networks in Social Media | Leskovec, Jure, Huttenlocher, Daniel, and Kleinberg, Jon | 2010b | Pages 1361-1370 of: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM. | arxiv |
| SNAP Datasets: Stanford Large Network Dataset Collection | Leskovec, Jure, and Krevl, Andrej | 2014 | リンク | |
| SNAP: A General Purpose Network Analysis and Graph Mining Library | Leskovec, Jure, and Sosič, Rok | 2016 | ACM Transactions on Intelligent Systems and Technology, 8(1). | arxiv |
| Encoding Social Information with Graph Convolutional Networks forPolitical Perspective Detection in News Media | Li, Chang, and Goldwasser, Dan | 2019 | Pages 2594-2604 of: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. | リンク |
| Spatio-Temporal Graph Convolution for Skeleton Based Action Recognition | Li, Chaolong, Cui, Zhen, Zheng, Wenming, Xu, Chunyan, and Yang, Jian | 2018a | Thirty-Second AAAI Conference on Artificial Intelligence. | arxiv |
| A Novel Computational Model for Predicting microRNA-Disease Associations Based on Heterogeneous Graph Convolutional Networks | Li, Chunyan, Liu, Hongju, Hu, Qian, Que, Jinlong, and Yao, Junfeng | 2019a | Cells, 8(9), 977. | リンク |
| Feature Selection: A Data Perspective | Li, Jundong, Cheng, Kewei, Wang, Suhang, Morstatter, Fred, Trevino, Robert P, Tang, Jiliang, and Liu, Huan | 2017b | ACM Computing Surveys, 50(6), 1-45. | arxiv |
| Attributed Network Embedding for Learning in a Dynamic Environment | Li, Jundong, Dani, Harsh, Hu, Xia, Tang, Jiliang, Chang, Yi, and Liu, Huan | 2017a | Pages 387-396 of: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management. ACM. | arxiv |
| Adaptive Unsupervised Feature Selection on Attributed Networks | Li, Jundong, Guo, Ruocheng, Liu, Chenghao, and Liu, Huan | 2019b | Pages 92-100 of: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. | リンク |
| Toward Time-Evolving Feature Selection on Dynamic Networks | Li, Jundong, Hu, Xia, Jian, Ling, and Liu, Huan | 2016 | Pages 1003-1008 of: 2016 IEEE 16th International Conference on Data Mining (ICDM). IEEE. | リンク |
| Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition | Li, Maosen, Chen, Siheng, Chen, Xu, Zhang, Ya, Wang, Yanfeng, and Tian, Qi | 2019c | Pages 3595-3603 of: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. | arxiv |
| Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning | Li, Qimai, Han, Zhichao, and Wu, Xiao-Ming | 2018b | Pages 3538-3545 of: McIlraith, Sheila A., and Weinberger, Kilian Q. (eds.), Proceed-ings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th AAAI symposium on Educational Advances in Ar-tificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018. AAAI Press. | arxiv |
| Adaptive Graph Convolutional Neural Networks | Li, Ruoyu, Wang, Sheng, Zhu, Feiyun, and Huang, Junzhou | 2018c | Thirty-Second AAAI Conference on Artificial Intelligence. | arxiv |
| DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses | Li, Yaxin, Jin, Wei, Xu, Han, and Tang, Jiliang | 2020a | arXiv preprint arXiv:2005.06149. | arxiv |
| Community Detection in Attributed Graphs: An Embedding Approach | Li, Ye, Sha, Chaofeng, Huang, Xin, and Zhang, Yanchun | 2018d | Thirty-Second AAAI Conference on Artificial Intelligence. | リンク |
| Learning Signed Network Embedding via Graph Attention | Li, Yu, Tian, Yuan, Zhang, Jiawei, and Chang, Yi | 2020b | Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence. | リンク |
| Gated Graph Sequence Neural Networks | Li, Yujia, Tarlow, Daniel, Brockschmidt, Marc, and Zemel, Richard | 2015 | arXiv preprint arXiv:1511.05493. | arxiv |
| Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search | Li, Zhuwen, Chen, Qifeng, and Koltun, Vladlen | 2018e | Pages 539-548 of: Advances in Neural Information Processing Systems. | arxiv |
| Semantic Object Parsing with Graph LSTM | Liang, Xiaodan, Shen, Xiaohui, Feng, Jiashi, Lin, Liang, and Yan, Shuicheng | 2016 | Pages 125-143 of: European Conference on Computer Vision, Springer. | arxiv |
| Efficient Graph Generation with Graph Recurrent Attention Networks | Liao, Renjie, Li, Yujia, Song, Yang, Wang, Shenlong, Hamilton, Will, Du-venaud, David K, Urtasun, Raquel, and Zemel, Richard | 2019 | Pages 4255-4265 of: Advances in Neural Information Processing Systems. | arxiv |
| The Link-Prediction Problem for Social Networks | Liben-Nowell, David, and Kleinberg, Jon | 2007 | Journal of the American Society for Information Science and Technology, 58(7), 1019-1031. | |
| Learning Entity and Relation Embeddings for Knowledge Graph Completion | Lin, Yankai, Liu, Zhiyuan, Sun, Maosong, Liu, Yang, and Zhu, Xuan | 2015 | Twenty-Ninth AAAI Conference on Artificial Intelligence. | リンク |
| Fast Interactive Object Annotation with Curve-GCN | Ling, Huan, Gao, Jun, Kar, Amlan, Chen, Wenzheng, and Fidler, Sanja | 2019 | Pages 5257-5266 of: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. | arxiv |
| Computational Methods of Feature Selection | Liu, Huan, and Motoda, Hiroshi | 2007 | CRC Press. | amazon |
| Feature Selection for Knowledge Discovery and Data Mining | Liu, Huan, and Motoda, Hiroshi | 2012 | Vol. 454. Springer Science & Business Media. | amazon |
| Chemi-net: a graph convolutional network for accurate drug property prediction | Liu, Ke, Sun, Xiangyan, Jia, Lei, Ma, Jun, Xing, Haoming, et al | 2018a | International Journal of Molecular Sciences, 20(14). | arxiv |
| Hyperbolic Graph Neural Networks | Liu, Qi, Nickel, Maximilian, and Kiela, Douwe | 2019a | Pages 8230-8241 of: Advances in Neural Information Processing Systems. | arxiv |
| Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection | Liu, Zhiwei, Dou, Yingtong, Yu, Philip S, Deng, Yutong, and Peng, Hao | 2020 | Pages 1569-1572 of: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. | arxiv |
| GeniePath: Graph Neural Networks with Adaptive Receptive Paths | Liu, Ziqi, Chen, Chaochao, Li, Longfei, Zhou, Jun, Li, Xiaolong, et al | 2019b | Pages 4424-4431 of: Proceedings of the AAAI Conference on Artificial Intelli-gence. Vol. 33. | arxiv |
| Heterogeneous Graph Neural Networks for Malicious Account Detection | Liu, Ziqi, Chen, Chaochao, Yang, Xinxing, Zhou, Jun, Li, Xiaolong, et al | 2018b | Pages 2077-2085 of: Proceedings of the 27th ACM International Conference on Information and Knowledge Management. | arxiv |
| Towards Efficient Large-Scale Graph Neural Network Computing | Ma, Lingxiao, Yang, Zhi, Miao, Youshan, Xue, Jilong, Wu, Ming, et al | 2018a | arXiv preprint arXiv:1810.08403. | arxiv |
| NeuGraph: Parallel Deep Neural Network Computation on Large Graphs | Ma, Lingxiao, Yang, Zhi, Miao, Youshan, Xue, Jilong, Wu, Ming, et al | 2019a | Pages 443-458 of: 2019 {USENIX} Annual Technical Confer-ence ({USENIX}{ATC} 19). | リンク |
| Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders | Ma, Tengfei, Chen, Jie, and Xiao, Cao | 2018b | Pages 7113-7124 of: Advances in Neural Information Processing Systems. | arxiv |
| Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders | Ma, Tengfei, Xiao, Cao, Zhou, Jiayu, and Wang, Fei | 2018c | Pages 3477-3483 of: Proceedings of the 27th International Joint Conference on Artificial Intelligence. | arxiv |
| Streaming Graph Neural Networks | Ma, Yao, Guo, Ziyi, Ren, Zhaocun, Tang, Jiliang, and Yin, Dawei | 2020b | Pages 719-728 of: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. | arxiv |
| Multi-Dimensional Network Embedding with Hierarchical Structure | Ma, Yao, Ren, Zhaochun, Jiang, Ziheng, Tang, Jiliang, and Yin, Dawei | 2018d | Pages 387-395 of: Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining. | リンク |
| Multi-dimensional Graph Convolutional Networks | Ma, Yao, Wang, Suhang, Aggarwal, Chara C, Yin, Dawei, and Tang, Jiliang | 2019c | Pages 657-665 of: Proceedings of the 2019 SIAM International Conference on Data Mining. SIAM. | arxiv |
| Graph Convolutional Networks with EigenPooling | Ma, Yao, Wang, Suhang, Aggarwal, Charu C., and Tang, Jiliang | 2019b | Pages 723-731 of: Teredesai, Ankur, Kumar, Vipin, Li, Ying, Rosales, Rómer, Terzi, Evimaria, et al. (eds.), Proceedings of the 25th ACM SIGKDD International Con-ference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019. ACM. | arxiv |
| Attacking Graph Convolutional Networks via Rewiring | Ma, Yao, Wang, Suhang, Derr, Tyler, Wu, Lingfei, and Tang, Jiliang | 2019d | arXiv preprint arXiv:1906.03750 | arxiv |
| Preserving Local and Global Information for Network Embedding | Ma, Yao, Wang, Suhang, Ren, ZhaoChun, Yin, Dawei, and Tang, Jiliang | 2017 | arXiv preprint arXiv:1710.07266. | arxiv |
| Rectifier nonlinearities improve neural network acoustic models | Maas, Andrew L, Hannun, Awni Y, and Ng, Andrew Y | 2013 | Proceedings of the International Conference on Machine Learning. | リンク |
| Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks | Marcheggiani, Diego, Bastings, Joost, and Titov, Ivan | 2018 | Pages 486-492 of: Proceedings of the 2018 Conference of the North Amer-ican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers). | arxiv |
| Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling | Marcheggiani, Diego, and Titov, Ivan | 2017 | Pages 1506-1515 of: Proceedings of the 2017 Conference on Empirical Methods in Natural Lan-guage Processing. | arxiv |
| A Logical Calculus of the Ideas Immanent in Nervous Activity | McCulloch, Warren S, and Pitts, Walter | 1943 | The Bulletin of Mathematical Biophysics, 5(4), Pages 115-133. | |
| Link Prediction via Matrix Factorization | Menon, Aditya Krishna, and Elkan, Charles | 2011 | Pages 437-452 of: Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer. | リンク |
| Distributed Representations of Words and Phrases and their Compositionality | Mikolov, Tomas, Sutskever, Ilya, Chen, Kai, Corrado, Greg S, and Dean, Jeff | 2013 | Pages 3111-3119 of: Advances in Neural Information Processing Systems. | arxiv |
| WordNet: An Electronic Lexical Database | Miller, George A | 1998 | MIT press. | amazon |
| Abusive Language Detection with Graph Convolutional Networks | Mishra, Pushkar, Del Tredici, Marco, Yannakoudakis, Helen, and Shutova, Ekaterina | 2019 | Pages 2145-2150 of: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volumne 1 (Long and Short Papers). | arxiv |
| End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures | Miwa, Makoto, and Bansal, Mohit | 2016 | Pages 1105-1116 of: Association for Computational Linguistics. | arxiv |
| Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks | Monti, Federico, Bronstein, Michael, and Bresson, Xavier | 2017 | Pages 3697-3707 of: Advances in Neural Information Processing Systems. | arxiv |
| Fake News Detection on Social Media using Geometric Deep Learning | Monti, Federico, Frasca, Fabrizio, Eynard, Davide, Mannion, Damon, and Bronstein, Michael M | 2019 | arXiv preprint arXiv:1902.06673. | arxiv |
| Hierarchical Probabilistic Neural Network Language Model | Morin, Frederic, and Bengio, Yoshua | 2005 | Pages 246-252 of: Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics. | リンク |
| Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks | Morris, Christopher, Ritzert, Martin, Fey, Matthias, Hamilton, William L, Lenssen, Jan Eric, et al | 2019 | Pages 4602-4609 of: Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 33. | arxiv |
| A survey of graphs in natural language processing | Nastase, Vivi, Mihalcea, Rada, and Radev, Dragomir R | 2015 | Natural Language Engineering, 21(5), 665-698. | |
| Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs | Nathani, Deepak, Chauhan, Jatin, Sharma, Charu, and Kaul, Manohar | 2019 | Pages 4710-4723 of: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. | arxiv |
| Iterative Classification in Relational Data | Neville, Jennifer, and Jensen, David | 2000 | Pages 13-20 of: Proc. AAAI-2000 workshop on learning statistical models from relational data. | リンク |
| Networks: An Introduction | Newman, Mark | 2018 | Oxford university press. | amazon |
| Modularity and community structure in networks | Newman, Mark E.J | 2006 | Proceedings of the National Academy of Sciences, 103(23), 8577-8582. | arxiv |
| On Spectral Clustering: Analysis and an algorithm | Ng, Andrew Y., Jordan, Michael I., and Weiss, Yair | 2002 | Pages 849-856 of: Advances in Neural Information Processing Systems. | リンク |
| Sparse autoencoder | Ng, Andrew, et al | 2011 | 72(2011), 1-19. | |
| Continuous-Time Dynamic Network Embeddings | Nguyen, Giang Hoang, Lee, John Boaz, Rossi, Ryan A., Ahmed, Nesreen K., et al | 2018 | Pages 969-976 of: Companion Proceedings of the Web Conference 2018. | リンク |
| GraphDTA: Predicting drug-target binding affinity with graph neural networks | Nguyen, Thin, Le, Hang, and Venkatesh, Svetha | 2020 | BioRxiv: 684662. | リンク |
| A Review of Relational Machine Learning for Knowledge Graphs | Nickel, Maximilian, Murphy, Kevin, Tresp, Volker, and Gabrilovich, Evgeniy | 2015 | Pro-ceedings of the IEEE, 104(1), 11-33. | arxiv |
| Learning Convolutional Neural Networks for Graphs | Niepert, Mathias, Ahmed, Mohamed, and Kutzkov, Konstantin | 2016 | Pages 2014-2023 of: Inter-national Conference on Machine Learning. | arxiv |
| Learning Conditioned Graph Structures for Interpretable Visual Question Answering | Norcliffe-Brown, Will, Vafeias, Stathis, and Parisot, Sarah | 2018 | Pages 8334-8343 of: Advances in Neural Information Processing Systems. | arxiv |
| Activation Functions: Comparison of trends in Practice and Research for Deep Learning | Nwankpa, Chigozie, Ijomah, Winifred, Gachagan, Anthony, and Marshall, Stephen | 2018 | arXiv preprint arXiv:1811.03378. | arxiv |
| Sparse coding with an overcomplete basis set: A strategy employed by V1? | Olshausen, Bruno A., and Field, David J | 1997 | Vision Research, 37(23), 3311-3325. | リンク |
| Graph Neural Networks Exponentially Lose Expressive Power for Node Classification | Oono, Kenta, and Suzuki, Taiji | 2020 | International Conference on Learning Representations. | arxiv |
| Asymmetric Transitivity Preserving Graph Embedding | Ou, Mingdong, Cui, Peng, Pei, Jian, Zhang, Ziwei, and Zhu, Wenwu | 2016 | Pages 1105-1114 of: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. | |
| Monte Carlo Theory, Methods and Examples | Owen, Art B | 2013 | リンク | |
| Adversarially Regularized Graph Autoencoder for Graph Embedding | Pan, Shirui, Hu, Ruiqi, Long, Guodong, Jiang, Jing, Yao, Lina, et al | 2018 | arXiv preprint arXiv:1802.04407. | arxiv |
| EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs | Pareja, Aldo, Domeniconi, Giacomo, Chen, Jie, Ma, Tengfei, Suzumura, Toy-otaro, et al | 2019 | Pages 5363-5370 of: Proceedings of the AAAI Conference on Artificial Intelligence. | arxiv |
| Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease | Parisot, Sarah, Ktena, Sofia Ira, Ferrante, Enzo, Lee, Matthew, Guerrero, Ri-cardo, et al | 2018 | Medical image analysis, 48, 117-130. | arxiv |
| Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks | Park, Namyong, Kan, Andrey, Dong, Xin Luna, Zhao, Tong, and Faloutsos, Christos | 2019 | Pages 596-606 of: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Min-ing. | arxiv |
| PyTorch: An Imperative Style, High-Performance Deep Learning Library | Paszke, Adam, Gross, Sam, Chintala, Soumith, Chanan, Gregory, Yang, Edward, et al | 2019 | Advances in Neural Information Processing Systems. 32, 8024-8035. | arxiv |
| The graph-tool python library | Peixoto, Tiago P | 2014 | figshare. | リンク |
| Self-Supervised Graph Representation Learning via Global Context Prediction | Peng, Zhen, Dong, Yixiang, Luo, Minnan, Wu, Xiao-Ming, and Zheng, Qinghua | 2020 | arXiv preprint arXiv:2003.01604. | arxiv |
| DeepWalk: Online Learning of Social Representations | Perozzi, Bryan, Al-Rfou, Rami, and Skiena, Steven | 2014 | Pages 701-710 of: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM. | arxiv |
| GSPBOX: A toolbox for signal processing on graphs | Perraudin, Nathanael̈, Paratte, Johan, Shuman, David, Martin, Lionel, Kalo-folias, Vassilis, et al | 2014 | arXiv preprint arXiv:1408.5781. | arxiv |
| Zur Theorie der Matrices | Perron, Oskar | 1907 | Mathematische Annalen, 64(2), Pages 248-263. | リンク |
| Deep contextualized word representations | Peters, Matthew E, Neumann, Mark, Iyyer, Mohit, Gardner, Matt, Clark, Christopher, et al | 2018 | Pages 2227-2237 of: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Lan-guage Technologies, Volume 1 (Long Papers). | arxiv |
| The Perron-Frobenius theorem: some of its applications | Pillai, S Unnikrishna, Suel, Torsten, and Cha, Seunghun | 2005 | IEEE Signal Processing Mag-azine, 22(2), 62-75. | リンク |
| A hybrid model for spatiotemporal forecasting of PM2.5 based on graph convolutional neural network and long short-term memory | Qi, Yanlin, Li, Qi, Karimian, Hamed, and Liu, Di | 2019 | Science of the Total Environment, 664, 1-10. | リンク |
| Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec | Qiu, Jiezhong, Dong, Yuxiao, Ma, Hao, Li, Jian, Wang, Kuansan, et al | 2018b | Pages 459-467 of: Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining. ACM. | arxiv |
| DeepInf: Social Influence Prediction with Deep Learning | Qiu, Jiezhong, Tang, Jian, Ma, Hao, Dong, Yuxiao, Wang, Kuansan, et al | 2018a | Pages 2110-2119 of: Proceedings of the 24th ACM SIGKDD International Con-ference on Knowledge Discovery & Data Mining. | arxiv |
| Improving Language Understanding by Generative Pre-Training | Radford, Alec, Narasimhan, Karthik, Salimans, Tim, Sutskever, Ilya | 2018 | リンク | |
| Language Models are Unsupervised Multitask Learners | Radford, Alec, Wu, Jeff, Child, Rewon, Luan, David, Amodei, Dario, et al | 2019 | OpenAI blog, 1(8), 9. | リンク |
| Adversarial Attacks and Defenses in Deep Learning | Ren, Kui, Zheng, Tianhang, Qin, Zhan, and Liu, Xue | 2020 | Engineering. 6(3), 346-360. | リンク |
| Recommender Systems | Resnick, Paul, and Varian, Hal R | 1997 | Communi-cations of the ACM, 40(3), 56-58. | リンク |
| struc2vec: Learning Node Representations from Structural Identity | Ribeiro, Leonardo F.R., Saverese, Pedro H.P., and Figueiredo, Daniel R | 2017 | Pages 385-394 of: Proceedings of the 23rd ACM SIGKDD International Confer-ence on Knowledge Discovery and Data Mining. ACM. | arxiv |
| DropEdge: Towards Deep Graph Convolutional Networks on Node Classification | Rong, Yu, Huang, Wenbing, Xu, Tingyang, and Huang, Junzhou | 2020 | International Conference on Learning Representations. | arxiv |
| The perceptron: A probabilistic model for information storage and organization in the brain | Rosenblatt, Frank | 1958 | Psychological Review, 65(6), 386. | PDF |
| HONE: Higher-Order Network Embeddings | Rossi, Ryan A, Ahmed, Nesreen K, Koh, Eunyee, Kim, Sungchul, Rao, Anup, et al | 2018 | Pages 3-4 of: Com-panion Proceedings of the The Web Conference 2018. | arxiv |
| The Network Data Repository with Interactive Graph Analytics and Visualization | Rossi, Ryan A., and Ahmed, Nesreen K | 2015 | Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence. | リンク |
| Nonlinear Dimensionality Reduction by Locally Linear Embedding | Roweis, Sam T, and Saul, Lawrence K | 2000 | Science, 290(5500), 2323-2326. | |
| Learning representations by back-propagating errors | Rumelhart, David E, Hinton, Geoffrey E, and Williams, Ronald J | 1986 | Nature, 323(6088), 533-536. | リンク |
| Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN | Rusek, Krzysztof, Suar̀ez-Varela, Josè, Mestres, Albert, Barlet-Ros, Pere, and Cabellos-Aparicio, Albert | 2019 | Pages 140-151 of: Proceedings of the 2019 ACM Symposium on SDN Research. | arxiv |
| Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network | Sahu, Sunil Kumar, Christopoulou, Fenia, Miwa, Makoto, and Ananiadou, Sophia | 2019 | Pages 4309-4316 of: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. | arxiv |
| Structural equivalence: Meaning and definition, computation and application | Sailer, Lee Douglas | 1978 | Social Networks, 1(1), 73-90. | リンク |
| FastDTW: Toward Accurate Dynamic Time Warping in Linear Time and Space | Salvador, Stan, and Chan, Philip | 2007 | Intelligent Data Analysis, 11(5), 561-580. | |
| Dynamic Graph Representation Learning via Self-Attention Networks | Sankar, Aravind, Wu, Yanhong, Gou, Liang, Zhang, Wei, and Yang, Hao | 2018 | Pages 519-527 of: Proceedings of the 13th International Conference on Web Search and Data Mining. | arxiv |
| The Graph Neural Network Model | Scarselli, Franco, Gori, Marco, Tsoi, Ah Chung, Hagenbuchner, Markus, and Monfardini, Gabriele | 2008 | IEEE Transactions on Neural Networks, 20(1), 61-80. | リンク |
| Graph neural networks for ranking Web pages | Scarselli, Franco, Yong, Sweah Liang, Gori, Marco, Hagenbuchner, Markus, Tsoi, Ah Chung, and Maggini, Marco | 2005 | Pages 666-672 of: Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence. IEEE Computer Society. | リンク |
| Modeling Relational Data with Graph Convolutional Networks | Schlichtkrull, Michael, Kipf, Thomas N, Bloem, Peter, Van Den Berg, Rianne, Titov, Ivan, et al | 2018 | Pages 593-607 of: European Semantic Web Conference. Springer. | arxiv |
| Conversational Speech Transcription Using Context-Dependent Deep Neural Networks | Seide, Frank, Li, Gang, and Yu, Dong | 2011 | Twelfth Annual Conference of the International Speech Communication Association. | リンク |
| Collective Classification in Network Data | Sen, Prithviraj, Namata, Galileo, Bilgic, Mustafa, Getoor, Lise, Galligher, Brian, et al | 2008 | AI magazine, 29(3), 93. | リンク |
| End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion | Shang, Chao, Tang, Yun, Huang, Jing, Bi, Jinbo, He, Xiaodong, et al | 2019a | Pages 3060-3067 of: Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 33. | arxiv |
| Pre-training of Graph Augmented Transformers for Medication Recommendation | Shang, Junyuan, Ma, Tengfei, Xiao, Cao, and Sun, Jimeng | 2019c | arXiv preprint arXiv:1906.00346. | arxiv |
| GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination | Shang, Junyuan, Xiao, Cao, Ma, Tengfei, Li, Hongyan, and Sun, Jimeng | 2019b | Pages 1126-1133 of: Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 33. | arxiv |
| Overlapping Community Detection with Graph Neural Networks | Shchur, Oleksandr, and Günnemann, Stephan | 2019 | arXiv preprint arXiv:1909.12201. | arxiv |
| Heterogeneous Information Network Embedding for Recommendation | Shi, Chuan, Hu, Binbin, Zhao, Wayne Xin, and Philip, S Yu | 2018a | IEEE Transactions on Knowledge and Data Engineering, 31(2), 357-370. | arxiv |
| Normalized Cuts and Image Segmentation | Shi, Jianbo, and Malik, Jitendra | 2000 | IEEE Transactions on pattern analysis and machine intelligence, 22(8), 888-905. | |
| Skeleton-Based Action Recognition With Directed Graph Neural Networks | Shi, Lei, Zhang, Yifan, Cheng, Jian, and Lu, Hanqing | 2019a | Pages 7912-7921 of: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. | リンク |
| Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition | Shi, Lei, Zhang, Yifan, Cheng, Jian, and Lu, Hanqing | 2019b | Pages 12026-12035 of: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. | arxiv |
| mvn2vec: Preservation and Collaboration in Multi-View Network Embedding | Shi, Yu, Han, Fangqiu, He, Xinwei, He, Xinran, Yang, Carl, et al | 2018b | arXiv preprint arXiv:1801.06597. | arxiv |
| The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains | Shuman, David I, Narang, Sunil K, Frossard, Pascal, Ortega, Antonio, and Vandergheynst, Pierre | 2013 | IEEE Signal Processing Magazine, 30(3), 83-98. | arxiv |
| An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition | Si, Chenyang, Chen, Wentao, Wang, Wei, Wang, Liang, and Tan, Tie-niu | 2019 | Pages 1227-1236 of: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. | arxiv |
| Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning | Si, Chenyang, Jing, Ya, Wang, Wei, Wang, Liang, and Tan, Tieniu | 2018 | Pages 103-118 of: Proceedings of the European Confer-ence on Computer Vision (ECCV). | arxiv |
| Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs | Simonovsky, Martin, and Komodakis, Nikos | 2017 | Pages 3693-3702 of: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. | arxiv |
| GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders | Simonovsky, Martin, and Komodakis, Nikos | 2018 | Pages 412-422 of: International Conference on Artificial Neural Networks. Springer. | arxiv |
| Very Deep Convolutional Networks for Large-Scale Image Recognition | Simonyan, Karen, and Zisserman, Andrew | 2014 | International Conference on Learning Representations. | arxiv |
| AMR-to-text Generation with Synchronous Node Replacement Grammar | Song, Linfeng, Peng, Xiaochang, Zhang, Yue, Wang, Zhiguo, and Gildea, Daniel | 2017 | Pages 7-13 of: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). | arxiv |
| Exploring Graph-structured Passage Representation for Multi-hop Reading Comprehension with Graph Neural Networks | Song, Linfeng, Wang, Zhiguo, Yu, Mo, Zhang, Yue, Florian, Radu, et al | 2018a | arXiv preprint arXiv:1809.02040. | arxiv |
| A Graph-to-Sequence Model for AMR-to-Text Generation | Song, Linfeng, Zhang, Yue, Wang, Zhiguo, and Gildea, Daniel | 2018b | Pages 1616-1626 of: Proceedings of the 56th Annual Meeting of the Association for Compu-tational Linguistics (Volume 1: Long Papers). | arxiv |
| N-ary Relation Extraction using Graph State LSTM | Song, Linfeng, Zhang, Yue, Wang, Zhiguo, and Gildea, Daniel | 2018c | Pages 2226-2235 of: Proceed-ings of the 2018 Conference on Empirical Methods in Natural Language Processing. | arxiv |
| Dropout: A Simple Way to Prevent Neural Networks from Overfitting | Srivastava, Nitish, Hinton, Geoffrey, Krizhevsky, Alex, Sutskever, Ilya, and Salakhutdinov, Ruslan | 2014 | The Journal of Machine Learning Research, 15(1), 1929-1958. | リンク |
| Joint Type Inference on Entities and Relations via Graph Convolutional Networks | Sun, Changzhi, Gong, Yeyun, Wu, Yuanbin, Gong, Ming, Jiang, Daxin, et al | 2019a | Pages 1361-1370 of: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. | リンク |
| InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization | Sun, Fan-Yun, Hoffmann, Jordan, and Tang, Jian | 2019b | arXiv preprint arXiv:1908.01000. | arxiv |
| Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels | Sun, Ke, Lin, Zhouchen, and Zhu, Zhanxing | 2019c | Pages 5892-5899 of: Proceedings of the AAAI Conference on Arti-ficial Intelligence. | arxiv |
| Axiomatic Attribution for Deep Networks | Sundararajan, Mukund, Taly, Ankur, and Yan, Qiqi | 2017 | Pages 3319-3328 of: Proceedings of the 34th International Conference on Machine Learning. Vol. 70 | arxiv |
| Sequence to Sequence Learning with Neural Networks | Sutskever, I, Vinyals, O, and Le, QV | 2014 | Advances in NIPS. 27. | arxiv |
| Policy Gradient Methods for Reinforcement Learning with Function Approximation | Sutton, Richard S, McAllester, David A, Singh, Satinder P, and Mansour, Yishay | 2000 | Pages 1057-1063 of: Advances in Neural Infor-mation Processing Systems. | リンク |
| Rethinking the Inception Architecture for Computer Vision | Szegedy, Christian, Vanhoucke, Vincent, Ioffe, Sergey, Shlens, Jon, and Wo-jna, Zbigniew | 2016 | Pages 2818-2826 of: Proceedings of the IEEE Conference on Com-puter Vision and Pattern Recognition. | arxiv |
| Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks | Tai, Kai Sheng, Socher, Richard, and Manning, Christopher D | 2015 | Pages 1556-1566 of: Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th In-ternational Joint Conference on Natural Language Processing (Volume 1: Long Papers). | arxiv |
| Introduction To Data Mining | Tan, Pang-Ning, Steinbach, Michael, and Kumar, Vipin | 2021 | Pearson Education India. | amazon |
| LINE: Large-scale Information Network Embedding | Tang, Jian, Qu, Meng, Wang, Mingzhe, Zhang, Ming, Yan, Jun, et al | 2015 | Pages 1067-1077 of: Proceedings of the 24th International Conference on World Wide Web. International World Wide Web Conferences Steering Committee. | arxiv |
| Node Classification in Signed Social Networks | Tang, Jiliang, Aggarwal, Charu, and Liu, Huan | 2016a | Pages 54-62 of: Proceedings of the 2016 SIAM International Conference on data Mining. SIAM. | リンク |
| Feature Selection for Classification: A Review | Tang, Jiliang, Alelyani, Salem, and Liu, Huan | 2014a | Data classification: Algorithms and applications, 37. | リンク |
| A Survey of Signed Network Mining in Social Media | Tang, Jiliang, Chang, Yi, Aggarwal, Charu, and Liu, Huan | 2016b | ACM Computing Surveys (CSUR), 49(3), 1-37. | arxiv |
| Exploiting Homophily Effect for Trust Prediction | Tang, Jiliang, Hu, Xia, Gao, Huiji, and Liu, Huan | 2013a | Pages 53-62 of: Proceedings of the Sixth ACM International Conference on Web Search and Data Mining. | リンク |
| Unsupervised Feature Selection for Multi-View Data in Social Media | Tang, Jiliang, Hu, Xia, Gao, Huiji, and Liu, Huan | 2013b | Pages 270-278 of: Proceedings of the 2013 SIAM International Conference on Data Mining. SIAM. | リンク |
| Is Distrust the Negation of Trust? The Value of Distrust in Social Media | Tang, Jiliang, Hu, Xia, and Liu, Huan | 2014b | Pages 148-157 of: Proceedings of the 25th ACM Conference on Hypertext and Social Media. | リンク |
| Unsupervised Feature Selection for Linked Social Media Data | Tang, Jiliang, and Liu, Huan | 2012b | Pages 904-912 of: Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. | リンク |
| Feature Selection with Linked Data in Social Media | Tang, Jiliang, and Liu, Huan | 2012a | Pages 118-128 of: Proceedings of the 2012 SIAM International Conference on Data Mining. SIAM. | リンク |
| Relational Learning via Latent Social Dimensions | Tang, Lei, and Liu, Huan | 2009 | Pages 817-826 of: Proceedings of the 15th ACM SIGKDD Interna-tional Conference on Knowledge Discovery and Data Mining. ACM. | リンク |
| Transferring Robustness for Graph Neural Network Against Poisoning Attacks | Tang, Xianfeng, Li, Yandong, Sun, Yiwei, Yao, Huaxiu, Mitra, Prasenjit, and Wang, Suhang | 2019 | Pages 600-608 of: Proceedings of the 13th International Conference on Web Search and Data Mining. | arxiv |
| Investigating and Mitigating Degree-Related Biases in Graph Convolutional Networks | Tang, Xianfeng, Yao, Huaxiu, Sun, Yiwei, Wang, Yiqi, Tang, Jiliang, et al | 2020 | Pages 1435-1444 of: Proceedings of the 29th ACM International Conference on Information & Knowledge Management. | arxiv |
| A Global Geometric Framework for Nonlinear Dimensionality Reduction | Tenenbaum, Joshua B, De Silva, Vin, and Langford, John C | 2000 | Science, 290(5500), 2319-2323. | |
| Graph-Structured Representations for Visual Question Answering | Teney, Damien, Liu, Lingqiao, and van den Hengel, Anton | 2017 | Pages 1-9 of: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. | arxiv |
| Chemical Graph Theory | Trinajstic, Nenad | 2018 | Routledge. | amazon |
| Structural Deep Embedding for Hyper-Networks | Tu, Ke, Cui, Peng, Wang, Xiao, Wang, Fei, and Zhu, Wenwu | 2018 | Thirty-Second AAAI Conference on Artificial Intelligence. | arxiv |
| Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs | Tu, Ming, Wang, Guangtao, Huang, Jing, Tang, Yun, He, Xiaodong, et al | 2019 | Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. | arxiv |
| Composition-based Multi-Relational Graph Convolutional Networks | Vashishth, Shikhar, Sanyal, Soumya, Nitin, Vikram, and Talukdar, Partha | 2019 | International Conference on Learning Representations. | arxiv |
| Attention Is All You Need | Vaswani, Ashish, Shazeer, Noam, Parmar, Niki, Uszkoreit, Jakob, Jones, Llion, et al | 2017 | Pages 5998-6008 of: Ad-vances in Neural Information Processing Systems. | arxiv |
| Graph Attention Networks | Veličković, Petar, Cucurull, Guillem, Casanova, Arantxa, Romero, Adriana, Lio, Pietro, et al | 2017 | International Confer-ence on Learning Representations. | arxiv |
| Deep Graph Infomax | Veličković, Petar, Fedus, William, Hamilton, William L, Lio, Pietro, et al | 2019 | arXiv preprint arXiv:1809.10341. | arxiv |
| A Neural Conversational Model | Vinyals, Oriol, and Le, Quoc | 2015 | arXiv preprint arXiv:1506.05869. | arxiv |
| The spread of true and false news online | Vosoughi, Soroush, Roy, Deb, and Aral, Sinan | 2018 | Science, 359(6380), 1146-1151. | リンク |
| Structural Deep Network Embedding | Wang, Daixin, Cui, Peng, and Zhu, Wenwu | 2016 | Pages 1225-1234 of: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM. | リンク |
| Community discovery using nonnegative matrix factorization | Wang, Fei, Li, Tao, Wang, Xin, Zhu, Shenghuo, and Ding, Chris | 2011 | Data Mining and Knowledge Discovery, 22(3), Pages 493-521. | リンク |
| MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network | Wang, Hao, Xu, Tong, Liu, Qi, Lian, Defu, Chen, Enhong, et al | 2019a | Pages 1064-1072 of: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Dis-covery & Data Mining. | arxiv |
| GraphGAN: Graph Representation Learning with Generative Adversarial Nets | Wang, Hongwei, Wang, Jia, Wang, Jialin, Zhao, Miao, Zhang, Weinan, et al | 2018a | Thirty-Second AAAI Conference on Artificial Intelligence. | arxiv |
| Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems | Wang, Hongwei, Zhang, Fuzheng, Zhang, Mengdi, Leskovec, Jure, Zhao, Miao, et al | 2019b | Pages 968-977 of: Proceed-ings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. | arxiv |
| Knowledge Graph Convolutional Networks for Recommender Systems | Wang, Hongwei, Zhao, Miao, Xie, Xing, Li, Wenjie, and Guo, Minyi | 2019c | Pages 3307-3313 of: The World Wide Web Conference. ACM. | arxiv |
| FdGars: Fraudster Detection via Graph Convolutional Networks in Online App Review System | Wang, Jianyu, Wen, Rui, Wu, Chunming, Huang, Yu, and Xion, Jian | 2019d | Pages 310-316 of: Companion Proceedings of The 2019 World Wide Web Conference. | リンク |
| Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks | Wang, Minjie, Yu, Lingfan, Zheng, Da, Gan, Quan, Gai, Yu, et al | 2019e | arXiv preprint arXiv:1909.01315. | arxiv |
| Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding | Wang, Peifeng, Han, Jialong, Li, Chenliang, and Pan, Rong | 2019f | Pages 7152-7159 of: Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 33. | arxiv |
| Attributed Signed Network Embedding | Wang, Suhang, Aggarwal, Charu, Tang, Jiliang, and Liu, Huan | 2017a | Pages 137-146 of: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management. | リンク |
| Signed Network Embedding in Social Media | Wang, Suhang, Tang, Jiliang, Aggarwal, Charu, Chang, Yi, and Liu, Huan | 2017b | Pages 327-335 of: Proceedings of the 2017 SIAM International Conference on Data Mining. SIAM. | リンク |
| KGAT: Knowledge Graph Attention Network for Recommendation | Wang, Xiang, He, Xiangnan, Cao, Yixin, Liu, Meng, and Chua, Tat-Seng | 2019g | Pages 950-958 of: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. | arxiv |
| Neural Graph Collaborative Filtering | Wang, Xiang, He, Xiangnan, Wang, Meng, Feng, Fuli, and Chua, Tat-Seng | 2019h | Pages 165-174 of: Proceed-ings of the 42nd international ACM SIGIR conference on Research and development in Information Retrieval. | arxiv |
| Community Preserving Network Embedding | Wang, Xiao, Cui, Peng, Wang, Jing, Pei, Jian, Zhu, Wenwu, et al | 2017c | Thirty-First AAAI Confer-ence on Artificial Intelligence. | リンク |
| Heterogeneous Graph Attention Network | Wang, Xiao, Ji, Houye, Shi, Chuan, Wang, Bai, Ye, Yanfang, et al | 2019i | Pages 2022-2032 of: The World Wide Web Conference. | arxiv |
| Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs | Wang, Xiaolong, Ye, Yufei, and Gupta, Abhinav | 2018b | Pages 6857-6866 of: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. | arxiv |
| Traffic Flow Prediction via Spatial Temporal Graph Neural Network | Wang, Xiaoyang, Ma, Yao, Wang, Yiqi, Jin, Wei, Wang, Xin, Tang, et al | 2020a | Pages 1082-1092 of: Proceedings of The Web Conference 2020. | リンク |
| One-Class Graph Neural Networks for Anomaly Detection in Attributed Networks | Wang, Xuhong, Du, Ying, Cui, Ping, and Yang, Yupu | 2020b | arXiv preprint arXiv:2002.09594. | arxiv |
| Bipartite Network Embedding via Effective Integration of Explicit and Implicit Relations | Wang, Yaping, Jiao, Pengfei, Wang, Wenjun, Lu, Chunyu, Liu, Hongtao, et al | 2019j | Pages 435-451 of: International Conference on Database Systems for Advanced Applications, Springer. | リンク |
| Dynamic Graph CNN for Learning on Point Clouds | Wang, Yue, Sun, Yongbin, Liu, Ziwei, Sarma, Sanjay E, Bronstein, Michael M., et al | 2019k | ACM Transactions on Graphics (TOG), 38(5), 1-12. | arxiv |
| Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks | Wang, Zhichun, Lv, Qingsong, Lan, Xiaohan, and Zhang, Yu | 2018c | Pages 349-357 of: Proceedings of the 2018 Conference on Empirical Meth-ods in Natural Language Processing. | リンク |
| Q-learning | Watkins, Christopher JCH, and Dayan, Peter | 1992 | Machine Learning, 8(3-4), 279-292. | リンク |
| Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics | Weber, Mark, Domeniconi, Giacomo, Chen, Jie, Weidele, Daniel Karl I, Bellei, Claudio, et al | 2019 | arXiv preprint arXiv:1908.02591. | arxiv |
| Unsupervised Feature Selection on Networks: A Generative View | Wei, Xiaokai, Cao, Bokai, and Philip, S Yu | 2016 | Thirtieth AAAI Conference on Artificial Intelligence. | リンク |
| Efficient Partial Order Preserving Unsupervised Feature Selection on Networks | Wei, Xiaokai, Xie, Sihong, and Yu, Philip S | 2015 | Pages 82-90 of: Proceedings of the 2015 SIAM International Conference on Data Mining. SIAM. | リンク |
| The reduction of a graph to canonical form and the algebra which appears therein | Weisfeiler, B, and Lehman, A | 1968 | Nauchno-Technicheskaya Informatsiya, 2(9), 12-16 (in Russian). | |
| Constructing Datasets for Multi-hop Reading Comprehension Across Documents | Welbl, Johannes, Stenetorp, Pontus, and Riedel, Sebastian | 2018 | Transactions of the Association for Computational Linguistics, 6, 287-302. | arxiv |
| Graph CNNs with Motif and Variable Temporal Block for Skeleton-Based Action Recognition | Wen, Yu-Hui, Gao, Lin, Fu, Hongbo, Zhang, Fang-Lue, and Xia, Shihong | 2019 | Pages 8989-8996 of: Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 33. | リンク |
| The Roots of Backpropagation: From Ordered Derivatives to Neural Networks and Political Forecasting | Werbos, Paul John | 1994 | John Wiley & Sons. | amazon |
| Sex differences in autism spectrum disorders | Werling, Donna M, and Geschwind, Daniel H | 2013 | Current opinion in neurology, 26(2), 146. | リンク |
| Convolution Transform | Widder, David Vernon, and Hirschman, Isidore Isaac | 2015 | Vol. 2153. Princeton University Press. | amazon |
| Adversarial Examples for Graph Data: Deep Insights into Attack and Defense | Wu, Huijun, Wang, Chen, Tyshetskiy, Yuriy, Docherty, Andrew, Lu, Kai, et al | 2019 | Pages 4816-4823 of: Kraus, Sarit (ed.), Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019. | リンク |
| A Comprehensive Survey on Graph Neural Networks | Wu, Zonghan, Pan, Shirui, Chen, Fengwen, Long, Guodong, Zhang, Chengqi, et al | 2020 | IEEE Transactions on Neural Networks and Learning Systems. | arxiv |
| Graph Wavelet Neural Network | Xu, Bingbing, Shen, Huawei, Cao, Qi, Qiu, Yunqi, and Cheng, Xueqi | 2019a | International Conference on Learning Rep-resentations. | arxiv |
| Adversarial Attacks and Defenses in Images, Graphs and Text: A Review | Xu, Han, Ma, Yao, Liu, Haochen, Deb, Debayan, Liu, Hui, et al | 2019b | Pages 151-178 of: International Journal of Automation and Computing. | arxiv |
| Representing Big Data as Networks: New Methods and Insights | Xu, Jian | 2017 | arXiv preprint arXiv:1712.09648. | arxiv |
| Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective | Xu, Kaidi, Chen, Hongge, Liu, Sijia, Chen, Pin-Yu, Weng, Tsui-Wei, et al | 2019c | Pages 3961-3967 of: Kraus, Sarit (ed.), Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelli-gence, IJCAI 2019, Macao, China, August 10-16, 2019. | arxiv |
| How Powerful are Graph Neural Networks? | Xu, Keyulu, Hu, Weihua, Leskovec, Jure, and Jegelka, Stefanie | 2019d | 7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019. | arxiv |
| Representation Learning on Graphs with Jumping Knowledge Networks | Xu, Keyulu, Li, Chengtao, Tian, Yonglong, Sonobe, Tomohiro, Kawarabayashi, Ken-ichi, et al | 2018a | Pages 5449-5458 of: Dy, Jennifer G., and Krause, Andreas (eds.), Proceedings of the 35th International Con-ference on Machine Learning, ICML 2018, Stockholmsmässan, Stockholm, Sweden, July 10-15, 2018. | arxiv |
| Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network | Xu, Kun, Wang, Liwei, Yu, Mo, Feng, Yansong, Song, Yan, et al | 2019e | Pages 349-357 of: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing COmputational Linguistics. | arxiv |
| Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks | Xu, Kun, Wu, Lingfei, Wang, Zhiguo, Feng, Yansong, Witbrock, Michael, et al | 2018b | arXiv preprint arXiv:1804.00823. | arxiv |
| Graph Convolutional Network and Convolutional Neural Network Based Method for Predicting lncRNA-Disease Associations | Xuan, Ping, Pan, Shuxiang, Zhang, Tiangang, Liu, Yong, and Sun, Hao | 2019 | Cells, 8(9), 1012. | リンク |
| HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs | Yadati, Naganand, Nimishakavi, Madhav, Yadav, Prateek, Nitin, Vikram, Louis, Anand, et al | 2019 | Pages 1509-1520 of: Advances in Neural Information Processing Systems. | リンク |
| Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition | Yan, Sijie, Xiong, Yuanjun, and Lin, Dahua | 2018 | Thirty-Second AAAI Conference on Artificial Intelligence. | arxiv |
| Deep Graph Kernels | Yanardag, Pinar, and Vishwanathan, SVN | 2015 | Pages 1365-1374 of: Proceedings of the 21th ACM SIGKDD International Con-ference on Knowledge Discovery and Data Mining. | リンク |
| Learning Multi-Relational Semantics Using Neural-Embedding Models | Yang, Bishan, Yih, Wen-tau, He, Xiaodong, Gao, Jianfeng, and Deng, Li | 2014 | arXiv preprint arXiv:1411.4072. | arxiv |
| Defining and Evaluating Network Communities based on Ground-truth | Yang, Jaewon, and Leskovec, Jure | 2015 | Knowledge and Information Systems, 42(1), 181-213. | arxiv |
| Auto-Encoding Scene Graphs for Image Captioning | Yang, Xu, Tang, Kaihua, Zhang, Hanwang, and Cai, Jianfei | 2019 | Pages 10685-10694 of: Pro-ceedings of the IEEE Conference on Computer Vision and Pattern Recog-nition. | arxiv |
| Graph Convolutional Networks for Text Classification | Yao, Liang, Mao, Chengsheng, and Luo, Yuan | 2019 | Pages 7370-7377 of: Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 33. | arxiv |
| Graph Convolutional Neural Networks for Web-Scale Recommender Systems | Ying, Rex, He, Ruining, Chen, Kaifeng, Eksombatchai, Pong, Hamilton, William L., et al | 2018a | Pages 974-983 of: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. ACM. | arxiv |
| GNNExplainer: Generating Explanations for Graph Neural Networks | Ying, Zhitao, Bourgeois, Dylan, You, Jiaxuan, Zitnik, Marinka, and Leskovec, Jure | 2019 | Pages 9244-9255 of: Advances in Neural Information Processing Systems. | arxiv |
| Hierarchical Graph Representation Learning with Differentiable Pooling | Ying, Zhitao, You, Jiaxuan, Morris, Christopher, Ren, Xiang, Hamilton, Will, et al | 2018c | Pages 4800-4810 of: Advances in Neural Information Processing Systems. | arxiv |
| Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation | You, Jiaxuan, Liu, Bowen, Ying, Zhitao, Pande, Vijay, and Leskovec, Jure | 2018a | Pages 6410-6421 of: Advances in Neural Information Processing Systems. | arxiv |
| GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models | You, Jiaxuan, Ying, Rex, Ren, Xiang, Hamilton, William L., and Leskovec, Jure | 2018b | Pages 5708-5717 of: International Conference on Ma-chine Learning. | arxiv |
| When Does Self-Supervision Help Graph Convolutional Networks? | You, Yuning, Chen, Tianlong, Wang, Zhangyang, and Shen, Yang | 2020 | Pages 10871-10880 of: International Conference on Machine Learning. | arxiv |
| Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting | Yu, Bing, Yin, Haoteng, and Zhu, Zhanxing | 2017 | Pages 3634-3640 of: Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, (IJCAI-18). | arxiv |
| Automatic Speech Recognition: A Deep Learning Approach | Yu, Dong, and Deng, Li | 2016 | Springer. | amazon |
| XGNN: Towards Model-Level Explanations of Graph Neural Networks | Yuan, Hao, Tang, Jiliang, Hu, Xia, and Ji, Shuiwang | 2020 | Pages 430-438 of: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. | arxiv |
| StructPool: Structured Graph Pooling via Conditional Random Fields | Yuan, Hao, and Ji, Shuiwang | 2019a | International Conference on Learning Representations. | リンク |
| SNE: Signed Network Embedding | Yuan, Shuhan, Wu, Xintao, and Xiang, Yang | 2017 | Pacific-Asia Conference on Knowledge Discovery and Data Mining. Springer. | arxiv |
| Adversarial Examples: Attacks and Defenses for Deep Learning | Yuan, Xiaoyong, He, Pan, Zhu, Qile, and Li, Xiaolin | 2019b | IEEE transactions on neural networks and learning systems, 30(9), Pages 2805-2824. | arxiv |
| ADADELTA: An Adaptive Learning Rate Method | Zeiler, Matthew D | 2012 | arXiv preprint arXiv:1212.5701. | arxiv |
| GraphSAINT: Graph Sampling Based Inductive Learning Method | Zeng, Hanqing, Zhou, Hongkuan, Srivastava, Ajitesh, Kannan, Rajgopal, and Prasanna, Viktor | 2019 | International Conference on Learning Representations. | arxiv |
| Heterogeneous Graph Neural Network | Zhang, Chuxu, Song, Dongjin, Huang, Chao, Swami, Ananthram, and Chawla, Nitesh V | 2019a | Pages 793-803 of: Proceedings of the 25th ACM SIGKDD International Confer-ence on Knowledge Discovery & Data Mining. | リンク |
| OAG: Toward Linking Large-scale Heterogeneous Entity Graphs | Zhang, Fanjin, Liu, Xiao, Tang, Jie, Dong, Yuxiao, Yao, Peiran, et al | 2019b | Pages 2585-2595 of: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. | リンク |
| Circuit-GNN: Graph Neural Networks for Distributed Circuit Design | Zhang, Guo, He, Hao, and Katabi, Dina | 2019c | Pages 7364-7373 of: International Conference on Machine Learning. | リンク |
| GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs | Zhang, Jiani, Shi, Xingjian, Xie, Junyuan, Ma, Hao, King, Irwin, and Yeung, Dit-Yan | 2018a | arXiv preprint arXiv:1803.07294. | arxiv |
| Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks | Zhang, Ningyu, Deng, Shumin, Sun, Zhanlin, Wang, Guanying, Chen, Xi, et al | 2019d | Pages 1331-1339 of: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). | arxiv |
| Adversarial Attacks on Deep Learning Models in Natural Language Processing: A Survey | Zhang, Wei Emma, Sheng, Quan Z, Alhazmi, Ahoud, and Li, Chenliang | 2020 | ACM Transactions on Intelligent Systems and Technology (TIST), 11(3), 1-41. | arxiv |
| Deep Collective Classification in Heterogeneous Information Networks | Zhang, Yizhou, Xiong, Yun, Kong, Xiangnan, Li, Shanshan, Mi, Jinhong, et al | 2018b | Pages 399-408 of: Proceedings of the 2018 World Wide Web Conference. | リンク |
| Graph Convolution over Pruned Dependency Trees Improves Relation Extraction | Zhang, Yuhao, Qi, Peng, and Manning, Christopher D | 2018c | Pages 2205-2215 of: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. | arxiv |
| PairNorm: Tackling Oversmoothing in GNNs | Zhao, Lingxiao, and Akoglu, Leman | 2019 | International Conference on Learning Representations. | arxiv |
| Graph Neural Networks: A Review of Methods and Applications | Zhou, Jie, Cui, Ganqu, Zhang, Zhengyan, Yang, Cheng, Liu, Zhiyuan, et al | 2018a | arXiv preprint arXiv:1812.08434. | arxiv |
| Dynamic Network Embedding by Modeling Triadic Closure Process | Zhou, Lekui, Yang, Yang, Ren, Xiang, Wu, Fei, and Zhuang, Yueting | 2018b | Thirty-Second AAAI Conference on Artificial Intelligence. | リンク |
| Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks | Zhou, Yaqin, Liu, Shangqing, Siow, Jingkai, Du, Xiaoning, and Liu, Yang | 2019 | Pages 10197-10207 of: Advances in Neural Information Processing Systems. | arxiv |
| Robust Graph Convolutional Networks Against Adversarial Attacks | Zhu, Dingyuan, Zhang, Ziwei, Cui, Peng, and Zhu, Wenwu | 2019a | Pages 1399-1407 of: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. | |
| Graph Neural Networks with Generated Parameters for Relation Extraction | Zhu, Hao, Lin, Yankai, Liu, Zhiyuan, Fu, Jie, Chua, Tat-seng, et al | 2019b | Pages 1331-1339 of: Proceedings of the 57th Annual Meeting of the Asso-ciation for Computational Linguistics. | リンク |
| AliGraph: A Comprehensive Graph Neural Network Platform | Zhu, Rong, Zhao, Kun, Yang, Hongxia, Lin, Wei, Zhou, Chang, et al | 2019c | arXiv preprint arXiv:1902.08730. | arxiv |
| Combining Content and Link for Classification using Matrix Factorization | Zhu, Shenghuo, Yu, Kai, Chi, Yun, and Gong, Yihong | 2007 | Pages 487-494 of: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. | |
| Semi-supervised learning using Gaussian fields and harmonic functions | Zhu, Xiaojin, Ghahramani, Zoubin, and Lafferty, John D | 2003 | Pages 912-919 of: Proceedings of the 20th International conference on Machine learning (ICML-03). | リンク |
| Modeling polypharmacy side effects with graph convolutional networks | Zitnik, Marinka, Agrawal, Monica, and Leskovec, Jure | 2018 | Bioinformatics, 34(13), i457-i466. | arxiv |
| Adversarial Attacks on Neural Networks for Graph Data | Zügner, Daniel, Akbarnejad, Amir, and Günnemann, Stephan | 2018 | Pages 2847-2856 of: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. | arxiv |
| Adversarial Attacks on Graph Neural Networks via Meta Learning | Zügner, Daniel, and Günnemann, Stephan | 2019 | International Conference on Learning Representations. | arxiv |