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cs.LG2025
Graph Contrastive Learning with Low-Rank Regularization and Low-Rank Attention for Noisy Node Classification
Yancheng Wang, Yingzhen Yang
Graph Neural Networks (GNNs) have achieved remarkable success in learning node representations and have shown strong performance in tasks such as node classification. However, rece…
cs.LG2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Yancheng Wang, Changyu Liu, Yingzhen Yang
Graph diffusion models have recently been proposed to synthesize entire graphs, such as molecule graphs. Although existing methods have shown great performance in generating entire…