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KC-GenRe is a novel knowledge-constrained generative re-ranking method for Knowledge Graph Completion (KGC). It uses LLMs to address the challenges of mismatch, misordering, and omission in KGC re-ranking by formulating it as a candidate identifier sorting generation problem, and integrating knowledge-guided interactive training and knowledge-augmented constrained inference.
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