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MedKGent: A Large Language Model Agent Framework for Constructing Temporally Evolving Medical Knowledge Graph
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MedKGent is a novel LLM agent framework designed to construct a temporally evolving medical knowledge graph. It comprises an Extractor Agent (which uses an LLM for relation extraction, sampling-based confidence estimation, and entity enrichment) and a Constructor Agent (which uses an LLM for incremental integration, confidence updates, and conflict resolution), leveraging LLMs to directly improve KG construction tasks.
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