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TCC-RAG: Temporal Causal Chain-Guided RAG for Temporal Knowledge Graph Question Answering
Recent advances in large language models (LLMs) have spurred growing interest in temporal knowledge graph question answering (TKGQA). Most existing methods rely on semantic retrieval augmented generation (RAG), which suffers from fundamental limitations in complex temporal reasoning. On the one hand
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