首页 正文

Unifying Attribute and Structure Preservation for Enhanced Graph Contrastive Learning

{{output}}
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... ...