Survey recent researches about dynamic representation for Knowledge Graph or Graph, specilally online learning.
- dyngraph2vec: Capturing network dynamics using dynamic graph representation learning || 2020-KBS
- Dynamic Graph Representation for Occlusion Handling in Biometrics || 2020-AAAI
- TemporalGAT: Attention-Based Dynamic Graph Representation Learning || 2020-PAKDD
- DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks || 2020-WSDM
- Distill2Vec: Dynamic Graph Representation Learning with Knowledge Distillation || 2020-Arxiv
- DyRep: Learning Representations over Dynamic Graphs. || 2019-ICLR
- Efficient Representation Learning Using Random Walks for Dynamic Graphs || 2019-Arxiv
- Learning robust affinity graph representation for multi-view clustering || 2020-Information Science
- Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings || 2017-ACL
- WalkingTime: Dynamic Graph Embedding Using Temporal-Topological Flows || 2020-CIKM
- tdGraphEmbed: Temporal Dynamic Graph-Level Embedding || 2020-CIKM
- GRADE: Graph Dynamic Embedding || 2020-Arxiv
- Efficiently Embedding Dynamic Knowledge Graphs || 2019-Arxiv
- Deep embedding method for dynamic graphs || 2017-IJCAI
- Continuous-time dynamic network embeddings || 2018-WWW
- Universal representation learning of knowledge bases by jointly embedding instances and ontological concepts || 2019-KDD
- Learning with temporal knowledge graphs || 2020-CIKM
- Towards temporal knowledge graph embeddings with arbitray time precision || 2020-CIKM