conftrace_

graph contrastive learning

112 papers

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Also known as

GRAPH CL GRAPHCL GCL

Co-occurring keywords

graph neural network (3962) self-supervised learning (3777) representation learning (6206) graph representation learning (246) contrastive learning (4032) graph augmentation (42) node classification (482) graph representation (360) data augmentation (3052) unsupervised learning (3264)

Papers

Structures Meet Semantics: Multimodal Fusion via Graph Contrastive Learning AAAI 2026
MACRec: A Multi-View Subspace Alignment Framework for Contrastive Sampling Calibration in Recommendation AAAI 2026
Conditional Distribution Learning for Graph Classification AAAI 2026
Khan-GCL: Kolmogorov–Arnold Network Based Graph Contrastive Learning with Hard Negatives AAAI 2026
Stage-Aware Graph Contrastive Learning with Node-oriented Mixture of Experts AAAI 2026
Dual-Kernel Graph Community Contrastive Learning AAAI 2026
HiLoMix: Robust High- and Low-Frequency Graph Learning Framework for Mixing Address Association AAAI 2026
Edge Self-Adversarial Augmentation Enhances Graph Contrastive Learning Against Neighborhood Inconsistency AAAI 2026
GCL-OT: Graph Contrastive Learning with Optimal Transport for Heterophilic Text-Attributed Graphs AAAI 2026
Prior Refinement Is Better: Diffusion-Driven Graph Harmonization for Federated Graph Learning AAAI 2026
Graph Contrastive Learning with Balanced Hard Negatives and Fine-grained Semantic-aware Positives AAAI 2026
HTG-GCL: Leveraging Hierarchical Topological Granularity from Cellular Complexes for Graph Contrastive Learning AAAI 2026
From Semantics to Spectrum: A New Lens on Graph Augmentation Strategy AAAI 2026
GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning AAAI 2025
Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning Model AAAI 2025
KGCL: Knowledge-Enhanced Graph Contrastive Learning for Retrosynthesis Prediction Based on Molecular Graph Editing IJCAI 2025
Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling AAAI 2025
BIG-FUSION: Brain-Inspired Global-Local Context Fusion Framework for Multimodal Emotion Recognition in Conversations AAAI 2025
Universal Graph Self-Contrastive Learning IJCAI 2025
Negative Metric Learning for Graphs IJCAI 2025
TSGAN: Temporal Social Graph Attention Network for Aggressive Behavior Forecasting AAAI 2025
Beyond Homophily: Graph Contrastive Learning with Macro-Micro Message Passing AAAI 2025
DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation AAAI 2025
Uncertainty-guided Graph Contrastive Learning from a Unified Perspective IJCAI 2025
Adversarial Contrastive Graph Augmentation with Counterfactual Regularization AAAI 2025