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Study on Compatibility and Efficacy of Blood-activating Herb Pairs Based on Graph Convolution Network
更新时间：2025-03-20
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    • Study on Compatibility and Efficacy of Blood-activating Herb Pairs Based on Graph Convolution Network

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    • “The latest research has constructed a traditional Chinese medicine compatibility prediction model HC-GCN based on graph convolutional networks, which combines the characteristics of traditional Chinese medicine with modern pharmacological mechanisms, demonstrating high predictive performance and providing a new method for intelligent screening and optimization of traditional Chinese medicine prescriptions.”
    • Chinese Journal of Experimental Traditional Medical Formulae   Vol. 31, Issue 8, Pages: 228-234(2025)

    • DOI：10.13422/j.cnki.syfjx.20241817    

      CLC： R259;R289;R287

    • Received：31 October 2024，

      Accepted：2024-12-14，

      Published Online：17 December 2024，

      Published：20 April 2025

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  • WANG Jingai,NIU Qikai,ZONG Wenjing,et al.Study on Compatibility and Efficacy of Blood-activating Herb Pairs Based on Graph Convolution Network[J].Chinese Journal of Experimental Traditional Medical Formulae,2025,31(08):228-234. DOI： 10.13422/j.cnki.syfjx.20241817.

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