Entity alignment is essential to fuse the medical knowledge graphs since the phenomenon of knowledge overlap and complementarity is common in different medical knowledge graphs.However,according to our research,there is not yet a complete solution for entity alignment in the medical field.Therefore,we propose a standardized entity alignment process based on the Chinese electronic medical record knowledge graph,which pro-vides a feasible scheme for entity alignment in the medical field.Meanwhile,according to the characteristic of the structural heterogeneity of the medical knowledge graph,we design a Dual-view Parallel Graph Neural Network(DuPNet)to solve the problem of entity alignment in the medical field,which achieves good results.
关键词
医疗知识图谱/中文电子病历/实体对齐/结构异构体/并行图神经网络
Key words
medical knowledge graph/Chinese electronic medical record/entity alignment/structual heterogeneity/parallel graph neural network
维普
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