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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Egile Nagusiak: Junfeng YAN (Egilea), Zhihua WEN (Egilea), Beiji ZOU (Egilea)
Formatua: Liburua
Argitaratua: KeAi Communications Co., Ltd., 2022-12-01T00:00:00Z.
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