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Meta-path guided graph attention network for explainable herb recommendation.

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第一作者： Yuanyuan,Jin

第一单位： School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China.;Shanghai Key Laboratory of Trustworthy Computing, East China Normal University, Shanghai, China.

作者： Yuanyuan,Jin ^[1] ; Wendi,Ji ^[2] ; Yao,Shi ^[3] ; Xiaoling,Wang ^[4] ; Xiaochun,Yang ^[5]

作者单位： School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China.;Shanghai Key Laboratory of Trustworthy Computing, East China Normal University, Shanghai, China. ^[1] Shanghai Key Laboratory of Trustworthy Computing, East China Normal University, Shanghai, China. ^[2] School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China. ^[3] Shanghai Key Laboratory of Trustworthy Computing, East China Normal University, Shanghai, China.;Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai, China. ^[4] School of Computer Science and Engineering, Northeastern University, Shenyang, China. ^[5]

关键词 Explainable recommendation Graph neural network Herb recommendation Meta-path

DOI 10.1007/s13755-022-00207-6

PMID 36660407

发布时间 2023-12-17

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Health information science and systems

2023年11卷1期

5页

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Health information science and systems

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Meta-path guided graph attention network for explainable herb recommendation.

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Meta-path guided graph attention network for explainable herb recommendation.

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