32 results on '"graph contrastive learning"'
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2. CSA4Rec: Collaborative Signals Augmentation Model Based on GCN for Recommendation
3. Invariant Risk Minimization Augmentation for Graph Contrastive Learning
4. Characterizing the Histology Spatial Intersections Between Tumor-Infiltrating Lymphocytes and Tumors for Survival Prediction of Cancers Via Graph Contrastive Learning
5. Self-supervised Learning with Adaptive Graph Structure and Function Representation for Cross-Dataset Brain Disorder Diagnosis
6. Subgraph Collaborative Graph Contrastive Learning for Recommendation
7. Boosting Patient Representation Learning via Graph Contrastive Learning
8. Hierarchical Cross-Level Graph Contrastive Learning for Drug-Drug Interaction Prediction
9. Noise-Resistant Graph Neural Networks for Session-Based Recommendation
10. Automated Multi-scale Contrastive Learning with Sample-Awareness for Graph Classification
11. AFANS: Augmentation-Free Graph Contrastive Learning with Adversarial Negative Sampling
12. DGCL: A Contrastive Learning Method for Predicting Cancer Driver Genes Based on Graph Diffusion
13. LncRNA-Disease Association Prediction Based on Integrated Application of Matrix Decomposition and Graph Contrastive Learning
14. MICA: Multi-channel Representation Refinement Contrastive Learning for Graph Fraud Detection
15. Dual-Branch Contrastive Learning for Network Representation Learning
16. Accelerating Unsupervised Federated Graph Neural Networks via Semi-asynchronous Communication
17. Graph Contrastive ATtention Network for Rumor Detection
18. Graph Contrastive Learning with Hybrid Noise Augmentation for Recommendation
19. MHGCL: Multi-scale Meta-path Integrated Heterogeneous Graph Contrastive Learning
20. LAGCL: Towards Stable and Automated Graph Contrastive Learning
21. Multi-Granularity Contrastive Learning for Graph with Hierarchical Pooling
22. Hierarchical Graph Contrastive Learning
23. TCMCoRep: Traditional Chinese Medicine Data Mining with Contrastive Graph Representation Learning
24. Joint Community and Structural Hole Spanner Detection via Graph Contrastive Learning
25. Graph Contrastive Learning Method with Sample Disparity Constraint and Feature Structure Graph for Node Classification
26. Adaptive Graph Augmentation for Graph Contrastive Learning
27. Hawkes Process via Graph Contrastive Discriminant Representation Learning and Transformer Capturing Long-Term Dependencies
28. Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation
29. Supervised Graph Contrastive Learning for Few-Shot Node Classification
30. Multi-Relational Cognitive Diagnosis for Intelligent Education
31. Deep Graph Convolutional Networks Based on Contrastive Learning: Alleviating Over-smoothing Phenomenon
32. Empowering Transformer with Hybrid Matching Knowledge for Entity Matching
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