mb-Ma / Survey-of-Dynamic-Representation-for-KGs

Survey recent researches about dynamic representation for Knowledge Graph or Graph, specilally online learning.

Survey-of-Dynamic-Representation-for-KGs

Survey recent researches about dynamic representation for Knowledge Graph or Graph, specilally online learning.

Papers

1. dyngraph2vec: Capturing network dynamics using dynamic graph representation learning || 2020-KBS
2. Dynamic Graph Representation for Occlusion Handling in Biometrics || 2020-AAAI
3. TemporalGAT: Attention-Based Dynamic Graph Representation Learning || 2020-PAKDD
4. DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks || 2020-WSDM
5. Distill2Vec: Dynamic Graph Representation Learning with Knowledge Distillation || 2020-Arxiv
6. DyRep: Learning Representations over Dynamic Graphs. || 2019-ICLR
7. Efficient Representation Learning Using Random Walks for Dynamic Graphs || 2019-Arxiv
8. Learning robust affinity graph representation for multi-view clustering || 2020-Information Science
9. Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings || 2017-ACL
10. WalkingTime: Dynamic Graph Embedding Using Temporal-Topological Flows || 2020-CIKM
11. tdGraphEmbed: Temporal Dynamic Graph-Level Embedding || 2020-CIKM
12. GRADE: Graph Dynamic Embedding || 2020-Arxiv
13. Efficiently Embedding Dynamic Knowledge Graphs || 2019-Arxiv
14. Deep embedding method for dynamic graphs || 2017-IJCAI
15. Continuous-time dynamic network embeddings || 2018-WWW
16. Universal representation learning of knowledge bases by jointly embedding instances and ontological concepts || 2019-KDD
17. Learning with temporal knowledge graphs || 2020-CIKM
18. Towards temporal knowledge graph embeddings with arbitray time precision || 2020-CIKM

Survey

1. Representation Learning for Dynamic Graphs: A Survey || 2020-JMLR ||
2. Relational Representation Learning for Dynamic (Knowledge) Graphs: A Survey || 2019-Arxiv