AI RESEARCH
CID-TKG: Collaborative Historical Invariance and Evolutionary Dynamics Learning for Temporal Knowledge Graph Reasoning
arXiv CS.AI
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ArXi:2604.09600v1 Announce Type: new Temporal knowledge graph (TKG) reasoning aims to infer future facts at unseen from temporally evolving entities and relations. Despite recent progress, existing approaches still suffer from inherent limitations due to their inductive biases, as they predominantly rely on time-invariant or weakly time-dependent structures and overlook the evolutionary dynamics.