RECIPE-TKG combines rule-based multi-hop history sampling, contrastive LoRA fine-tuning, and test-time semantic filtering to improve LLM temporal knowledge graph completion, with Hits@10 gains up to 30.6% over prior LLM baselines.
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RECIPE-TKG: From Sparse History to Structured Reasoning for LLM-based Temporal Knowledge Graph Completion
RECIPE-TKG combines rule-based multi-hop history sampling, contrastive LoRA fine-tuning, and test-time semantic filtering to improve LLM temporal knowledge graph completion, with Hits@10 gains up to 30.6% over prior LLM baselines.