KDD 2025 - Graph Contrastive Learning with Progressive Augmentations

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KDD 2025 - Enhancing Graph Contrastive Learning with Reliable and Informative Augmentation KDD 2025 - Enhancing Graph Contrastive Learning with Reliable and Informative Augmentation
KDD 2025 - Contrastive Graph Condensation:Advancing Data Versatility through SelfSupervised Learning KDD 2025 - Contrastive Graph Condensation:Advancing Data Versatility through SelfSupervised Learning
KDD 2025 - DimCL Dimension Aware Augmentation in Contrastive Learning for Recommendation KDD 2025 - DimCL Dimension Aware Augmentation in Contrastive Learning for Recommendation
KDD 2025 - Progressive Stacking for Scalable Graph Condensation KDD 2025 - Progressive Stacking for Scalable Graph Condensation
KDD 2025 - SGD-DyG: Self-Reliant Global Global Dependency Apprehending on Dynamic Graphs KDD 2025 - SGD-DyG: Self-Reliant Global Global Dependency Apprehending on Dynamic Graphs
KDD 2025 - Contrastive Learning for Inventory Add Prediction at Fliggy KDD 2025 - Contrastive Learning for Inventory Add Prediction at Fliggy
KDD 2025 - Progressive Generalization Risk Reduction for Data Efficient Causal Effect Estimation KDD 2025 - Progressive Generalization Risk Reduction for Data Efficient Causal Effect Estimation
KDD 2025 - Keynote Speakers: Jason Cong / Deep Learning Meets Chip Design KDD 2025 - Keynote Speakers: Jason Cong / Deep Learning Meets Chip Design