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Coronary heart disease prediction method fusing domain-adaptive transfer learning with graph convolutional networks (GCN)
Graph convolutional networks (GCNs) have achieved impressive results in many medical scenarios involving graph node classification tasks. However, there are difficulties in transfer learning for graph representation learning and graph network models. Most GNNs work only in a single domain and cannot...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10471677/ https://www.ncbi.nlm.nih.gov/pubmed/37652917 http://dx.doi.org/10.1038/s41598-023-33124-z |