graph contrastive learning

Conditional Distribution Learning for Graph Classification AAAI 2026 Dual-Kernel Graph Community Contrastive Learning AAAI 2026 Edge Self-Adversarial Augmentation Enhances Graph Contrastive Learning Against Neighborhood Inconsistency AAAI 2026 From Semantics to Spectrum: A New Lens on Graph Augmentation Strategy AAAI 2026 GCL-OT: Graph Contrastive Learning with Optimal Transport for Heterophilic Text-Attributed Graphs AAAI 2026 Graph Contrastive Learning with Balanced Hard Negatives and Fine-grained Semantic-aware Positives AAAI 2026 HiLoMix: Robust High- and Low-Frequency Graph Learning Framework for Mixing Address Association AAAI 2026 HTG-GCL: Leveraging Hierarchical Topological Granularity from Cellular Complexes for Graph Contrastive Learning AAAI 2026 Khan-GCL: Kolmogorov–Arnold Network Based Graph Contrastive Learning with Hard Negatives AAAI 2026 MACRec: A Multi-View Subspace Alignment Framework for Contrastive Sampling Calibration in Recommendation AAAI 2026 Prior Refinement Is Better: Diffusion-Driven Graph Harmonization for Federated Graph Learning AAAI 2026 Stage-Aware Graph Contrastive Learning with Node-oriented Mixture of Experts AAAI 2026 Structures Meet Semantics: Multimodal Fusion via Graph Contrastive Learning AAAI 2026 Adversarial Contrastive Graph Augmentation with Counterfactual Regularization AAAI 2025 A Simple Graph Contrastive Learning Framework for Short Text Classification AAAI 2025 Beyond Homophily: Graph Contrastive Learning with Macro-Micro Message Passing AAAI 2025 BIG-FUSION: Brain-Inspired Global-Local Context Fusion Framework for Multimodal Emotion Recognition in Conversations AAAI 2025 DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation AAAI 2025 Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling AAAI 2025 Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning Model AAAI 2025 Empowering Quantum Serverless Circuit Deployment Optimization via Graph Contrastive Learning and Learning-to-Rank Co-designed Approaches IJCAI 2025 Enhancing Graph Contrastive Learning for Protein Graphs from Perspective of Invariance ICML 2025 Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks ICML 2025 Equivalence is All: A Unified View for Self-supervised Graph Learning ICML 2025 GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning AAAI 2025