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Enhancing Temporal Knowledge Graph Forecasting with Large Language Models via Chain-of-History Reasoning
Temporal Knowledge Graph (TKG) forecasting aims to predict future facts based on given histories.
MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning
Most existing works focus on exploring evolutionary information in history to obtain effective temporal embeddings for entities and relations, but they ignore the variation in evolution patterns of facts, which makes them struggle to adapt to future data with different evolution patterns.
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