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CID-TKG: Collaborative Historical Invariance and Evolutionary Dynamics Learning for Temporal Knowledge Graph Reasoning
Shuai-Long Lei, Xiaobin Zhu, Jiarui Liang +3
Temporal knowledge graph (TKG) reasoning aims to infer future facts at unseen timestamps from temporally evolving entities and relations. Despite recent progress, existing approach…
Arbitrary Time Information Modeling via Polynomial Approximation for Temporal Knowledge Graph Embedding
Zhiyu Fang, Jingyan Qin, Xiaobin Zhu +2
Distinguished from traditional knowledge graphs (KGs), temporal knowledge graphs (TKGs) must explore and reason over temporally evolving facts adequately. However, existing TKG app…
Transformer-based Reasoning for Learning Evolutionary Chain of Events on Temporal Knowledge Graph
Zhiyu Fang, Shuai-Long Lei, Xiaobin Zhu +4
Temporal Knowledge Graph (TKG) reasoning often involves completing missing factual elements along the timeline. Although existing methods can learn good embeddings for each factual…