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32 results on '"graph contrastive learning"'

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1. Graph Contrastive Learning for Multi-behavior 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

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

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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