Contrastive learning and generative methodologies in graph self-supervised learning offer efficient strategies for managing graph data with scarce labels. Among these techniques, the masked graph ...

Researchers introduced X-CLR, a novel contrastive learning method using graph-based sample relationships. This approach ...

Keywords: microbe-disease associations, graph convolutional network, graph attention mechanism, contrastive learning, gut microbial metagenomics. Citation: Jiang C, Feng J, Shan B, Chen Q, Yang J, ...

Abstract: Contrastive learning and generative methodologies in graph self-supervised learning offer efficient strategies for managing graph data with scarce labels. Among these techniques, the masked ...

Researchers introduced X-CLR, a novel contrastive learning method using graph-based sample relationships. This approach outperformed traditional models like SimCLR in low-data regimes, enhancing ...