Self-Supervised Learning Based on Graph Structural Clustering for Disease Diagnosis Method
Recently, graph self-supervised learning has been applied to disease diagnosis to alleviate the lack of medical labeling information and manual labeling problems. However, the performance of existing graph self-supervised learning heavily relies on high-quality positive and negative samples, which l...
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| Materialtyp: | Artigo |
| Språk: | Inglês |
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Editorial Office of Computer Engineering
2024-07-01
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| Serie: | Jisuanji gongcheng |
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| Länkar: | https://www.ecice06.com/fileup/1000-3428/PDF/20240737.pdf |
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