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LDComKG: an LLM-powered dual-enhanced framework for community-aware knowledge graph completion in traditional Chinese medicine.

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第一作者： Xing,Zeng

第一单位： School of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine, Nanjing, 210023 China.

作者： Xing,Zeng ^[1] ; Ziyan,Wang ^[2] ; Jingxian,Chai ^[1] ; Hongmin,Xu ^[1] ; Libo,Qu ^[1] ; Hongyan,Li ^[3] ; Xufeng,Lang ^[3] ; Yihua,Song ^[3] ; Yun,Ling ^[4] ; Ning,Gu ^[5] ; Xuebin,Qiao ^[6] ; Zuojian,Zhou ^[3]

作者单位： School of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine, Nanjing, 210023 China. ^[1] School of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine, Nanjing, 210023 China.;Institute of Chinese Medicine Literature, Nanjing University of Chinese Medicine, Nanjing, China. ^[2] School of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine, Nanjing, 210023 China.;Jiangsu Province Engineering Research Center of TCM Intelligence Health Service, Nanjing University of Chinese Medicine, Nanjing, 210023 China. ^[3] School of Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing, 210023 China. ^[4] Nanjing Hospital of Chinese Medicine affiliated to Nanjing University of Chinese Medicine, Nanjing, 210022 China. ^[5] Jiangsu Province Engineering Research Center of TCM Intelligence Health Service, Nanjing University of Chinese Medicine, Nanjing, 210023 China. ^[6]

关键词 Ancient Chinese medical corpora Knowledge graph completion Large language models Semantic entity-relation extraction

DOI 10.1007/s13755-026-00429-y

PMID 41725781

发布时间 2026-02-23

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Health information science and systems

2026年14卷1期

41页

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Health information science and systems

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LDComKG: an LLM-powered dual-enhanced framework for community-aware knowledge graph completion in traditional Chinese medicine.

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LDComKG: an LLM-powered dual-enhanced framework for community-aware knowledge graph completion in traditional Chinese medicine.

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