动态图嵌入方法学习，相关论文和代码仓库整理。
| paper | 会议/期刊 |
|---|---|
| Foundations and Modeling of Dynamic Networks Using Dynamic Graph Neural Networks: A Survey | IEEE Access'21 |
| A Survey on Embedding Dynamic Graphs | arxiv'21 |
| Representation Learning for Dynamic Graphs: A Survey | JMLR'20 |
| paper | 会议/期刊 |
|---|---|
| Dynamic Graph Representation Learning | UCLA paper reading group'20 |
| paper | model | code | 会议 | 细分 |
|---|---|---|---|---|
| DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks | DySAT | https://github.com/aravindsankar28/DySAT | WSDM'20 | stacked-DGNN |
| EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs | EvolveGCN | https://github.com/IBM/EvolveGCN. | AAAI'20 | Integrated-DGNN |
| paper | model | code | 会议 | 细分 |
|---|---|---|---|---|
| Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks | JODIE | https://github.com/srijankr/jodie | KDD'19 | RNN-based |
| DYREP: LEARNING REPRESENTATIONS OVER DYNAMIC GRAPHS | DyREP | https://github.com/uoguelph-mlrg/LDG (unofficial) https://github.com/Harryi0/dyrep_torch (unofficial) | ICLR'19 | TTP-based |
| INDUCTIVE REPRESENTATION LEARNING ON TEMPORAL GRAPHS | TGAT | https://github.com/StatsDLMathsRecomSys/Inductive-representation-learning-on-temporal-graphs | ICLR'20 | time embedding |
| TEMPORAL GRAPH NETWORKS FOR DEEP LEARNING ON DYNAMIC GRAPHS | TGN | https://github.com/twitter-research/tgn https://github.com/dmlc/dgl/tree/master/examples/pytorch/tgn (DGL) | ICML'20-workshop | time embedding |