New SAC-GCL Method Introduces Structure-Aware Compression for Graph Contrastive Learning
A new arXiv paper presents SAC-GCL, a structure-aware compression approach for graph contrastive learning, a self-supervised technique that learns representations by maximizing agreement between augmented graph views.
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- 2026-10-30 04:00 · arXiv cs.LG
SAC-GCL: Structure-Aware Compression for Graph Contrastive Learning