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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2022-12-01
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| Series: | Digital Chinese Medicine |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589377722000775 |