A graph contrastive learning framework that uses estimated graphons to generate structure-aware augmentations and to contrast graphs only across different generative clusters.
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Model-Driven Graph Contrastive Learning
A graph contrastive learning framework that uses estimated graphons to generate structure-aware augmentations and to contrast graphs only across different generative clusters.