44 citations · 73 across the 4 of their papers we have counts for
4 papers
VN Network: Embedding Newly Emerging Entities with Virtual Neighbors
Yongquan He, Zihan Wang, Peng Zhang +2
Embedding entities and relations into continuous vector spaces has attracted a surge of interest in recent years. Most embedding methods assume that all test entities are available…
HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph
Yongquan He, Peng Zhang, Luchen Liu +3
In recent years, temporal knowledge graph (TKG) reasoning has received significant attention. Most existing methods assume that all timestamps and corresponding graphs are availabl…
Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations
Zihan Wang, Kai Zhao, Yongquan He +4
Recent work on knowledge graph completion (KGC) focused on learning embeddings of entities and relations in knowledge graphs. These embedding methods require that all test entities…
Subgraph Neighboring Relations Infomax for Inductive Link Prediction on Knowledge Graphs
Xiaohan Xu, Peng Zhang, Yongquan He +2
Inductive link prediction for knowledge graph aims at predicting missing links between unseen entities, those not shown in training stage. Most previous works learn entity-specific…