Guang-Hui Wen

LLM-RDO: Large Language Model-Guided Rules Dynamic Optimization for Temporal Knowledge Graph Reasoning

Temporal knowledge graph reasoning (TKGR) aims to predict future facts based on historical event facts. However, the traditional embedding-based methods lack interpretability and the rule-based methods are prone to falling into spurious correlation traps. Note that the recent large language model (LLM)-based methods ar...