HPGCN: A graph convolutional network-based prediction model for herbal heat/cold properties

HPGCN: A graph convolutional network-based prediction model for herbal heat/cold properties

Herbal properties are part of the fundamental theories of traditional Chinese medicine (TCM), which has been of great significance for herbal formulas and disease treatment in clinics for thousands of years. However, determining herbal properties, such as heat/cold, still relies on ancient books and...

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Bibliographic Details
Main Authors: Qikai Niu, Jing’ai Wang, Hongtao Li, Lin Tong, Haiyu Xu, Weina Zhang, Ziling Zeng, Sihong Liu, Wenjing Zong, Siqi Zhang, Siwei Tian, Huamin Zhang, Bing Li
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Current Plant Biology
Subjects:
Herbal property prediction
Traditional Chinese Medicine (TCM)
Graph convolutional network
Herbal heat/cold properties
Herbal function
Online Access:http://www.sciencedirect.com/science/article/pii/S2214662825000167
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