This review consolidates self-supervised graph learning methods for healthcare into contrastive, generative, and predictive categories, and surveys datasets, metrics, and open challenges.
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Self-Supervised Learning for Graph-Structured Data in Healthcare Applications: A Comprehensive Review
This review consolidates self-supervised graph learning methods for healthcare into contrastive, generative, and predictive categories, and surveys datasets, metrics, and open challenges.