9.1節 はじめに
| タイトル | 著者名 | 年 | リンク | 登場順 |
|---|---|---|---|---|
| Structural Deep Network Embedding | Wang et al | 2016 | リンク | 1 |
| Variational Graph Auto-Encoders | Kipf and Welling | 2016b | arxiv | 2 |
| Adversarially Regularized Graph Autoencoder for Graph Embedding | Pan et al | 2018 | arxiv | 3 |
| GraphGAN: Graph Representation Learning with Generative Adversarial Nets | Wang et al | 2018a | arxiv | 4 |
| GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders | Simonovsky and Komodakis | 2018 | arxiv | 5 |
| MolGAN: An implicit generative model for small molecular graphs | De Cao and Kipf | 2018 | arxiv | 6 |
9.2節 グラフ上のオートエンコーダー
| タイトル | 著者名 | 年 | リンク | 登場順 |
|---|---|---|---|---|
| Structural Deep Network Embedding | Wang et al | 2016 | リンク | 1 |
| Variational Graph Auto-Encoders | Kipf and Welling | 2016b | arxiv | 2 |
| Adversarially Regularized Graph Autoencoder for Graph Embedding | Pan et al | 2018 | arxiv | 3 |
9.3節 グラフ上のRNN
| タイトル | 著者名 | 年 | リンク | 登場順 |
|---|---|---|---|---|
| Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks | Tai et al | 2015 | arxiv | 1 |
| Semantic Object Parsing with Graph LSTM | Liang et al | 2016 | arxiv | 2 |
9.4節 グラフ上のVAE
| タイトル | 著者名 | 年 | リンク | 登場順 |
|---|---|---|---|---|
| Auto-Encoding Variational Bayes | Kingma and Welling | 2013 | arxiv | 1 |
| Variational Graph Auto-Encoders | Kipf and Welling | 2016b | arxiv | 2 |
| GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders | Simonovsky and Komodakis | 2018 | arxiv | 3 |
| Finding Matches in a Haystack: A Max-Pooling Strategy for Graph Matching in the Presence of Outliers | Cho et al | 2014b | リンク | 4 |
9.5節 グラフ上のGAN
| タイトル | 著者名 | 年 | リンク | 登場順 |
|---|---|---|---|---|
| Generative Adversarial Nets | Goodfellow et al | 2014a | arxiv | 1 |
| GraphGAN: Graph Representation Learning with Generative Adversarial Nets | Wang et al | 2018a | arxiv | 2 |
| Hierarchical Probabilistic Neural Network Language Model | Morin and Bengio | 2005 | リンク | 3 |
| Distributed Representations of Words and Phrases and their Compositionality | Mikolov et al | 2013 | arxiv | 4 |
| MolGAN: An implicit generative model for small molecular graphs | De Cao and Kipf | 2018 | arxiv | 5 |
9.7節 参考文献
| タイトル | 著者名 | 年 | リンク | 登場順 |
|---|---|---|---|---|
| Junction Tree Variational Autoencoder for Molecular Graph Generation | Jin et al | 2018 | arxiv | 1 |
| Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders | Ma et al | 2018b | arxiv | 2 |
| Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation | You et al | 2018a | arxiv | 3 |
| GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models | You et al | 2018b | arxiv | 4 |
| Efficient Graph Generation with Graph Recurrent Attention Networks | Liao et al | 2019 | arxiv | 5 |