Unifying Attribute and Structure Preservation for Enhanced Graph Contrastive Learning
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The graph contrastive learning (GCL) has garnered significant interest due to its strong capability to capture both graph structure and node attribute information through self-supervised learning. However, current GCL frameworks primarily construct final contr... ...