A new multi-view graph contrastive learning method generates adaptive views via learnable fractional-order diffusion dynamics instead of manual augmentations and outperforms prior baselines.
Graph representation learning via graphical mutual information maxi- mization,
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Adaptive Multi-view Graph Contrastive Learning via Fractional-order Neural Diffusion Networks
A new multi-view graph contrastive learning method generates adaptive views via learnable fractional-order diffusion dynamics instead of manual augmentations and outperforms prior baselines.