Heterogeneous graph construction and node representation learning method of Treatise on Febrile Diseases based on graph convolutional network

Objective: To construct symptom-formula-herb heterogeneous graphs structured Treatise on Febrile Diseases (Shang Han Lun,《伤寒论》) dataset and explore an optimal learning method represented with node attributes based on graph convolutional network (GCN). Methods: Clauses that contain symptoms, formulas...

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Bibliographic Details
Main Authors: Junfeng YAN (Author), Zhihua WEN (Author), Beiji ZOU (Author)
Format: Book
Published: KeAi Communications Co., Ltd., 2022-12-01T00:00:00Z.
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