Jian-Ming Li

TECA: Temporal Evolution with Convolutional Block Attention for Knowledge Graph Reasoning

Temporal Knowledge Graph (TKG) reasoning aims to infer time-dependent facts by modeling how entities and relations evolve. Most existing methods learn entity and relation embeddings jointly from past observations and often treat relations as auxiliary signals induced by entity interactions. This coupling can over-smoot...