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SAC-GCL: Structure-Aware Compression for Graph Contrastive Learning

arXiv:2610.37898v1 Announce Type: new Abstract: Graph Contrastive Learning (GCL) has achieved remarkable success in self-supervised representation learning by maximizing agreement between augmented views of a graph. Although augmented view generation is the central step in GCL, existing models rely…

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  1. 2026-10-30 04:00 · arXiv cs.LG
    SAC-GCL: Structure-Aware Compression for Graph Contrastive Learning

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