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cs.AI2024
Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning
Jiapu Wang, Kai Sun, Linhao Luo +5
Temporal Knowledge Graph Reasoning (TKGR) is the process of utilizing temporal information to capture complex relations within a Temporal Knowledge Graph (TKG) to infer new knowled…
cs.AI2024
Query-Enhanced Adaptive Semantic Path Reasoning for Inductive Knowledge Graph Completion
Kai Sun, Jiapu Wang, Huajie Jiang +2
Conventional Knowledge graph completion (KGC) methods aim to infer missing information in incomplete Knowledge Graphs (KGs) by leveraging existing information, which struggle to pe…
cs.AI2024
IME: Integrating Multi-curvature Shared and Specific Embedding for Temporal Knowledge Graph Completion
Jiapu Wang, Zheng Cui, Boyue Wang +4
Temporal Knowledge Graphs (TKGs) incorporate a temporal dimension, allowing for a precise capture of the evolution of knowledge and reflecting the dynamic nature of the real world.…