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

• Main Authors: Junfeng YAN (Author), Zhihua WEN (Author), Beiji ZOU (Author)
• פורמט: ספר
• יצא לאור: KeAi Communications Co., Ltd., 2022-12-01T00:00:00Z.
• נושאים: article
• גישה מקוונת: Connect to this object online.

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...