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271 results on '"Graph contrastive learning"'

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20. Graph Contrastive Learning for Multi-behavior Recommendation

22. Invariant Risk Minimization Augmentation for Graph Contrastive Learning

23. Characterizing the Histology Spatial Intersections Between Tumor-Infiltrating Lymphocytes and Tumors for Survival Prediction of Cancers Via Graph Contrastive Learning

24. Simplify to the Limit! Embedding-Less Graph Collaborative Filtering for Recommender Systems.

25. Predicting noncoding RNA and disease associations using multigraph contrastive learning.

26. 结合图神经网络和图对比学习的半监督多图分类.

27. GPS: graph contrastive learning via multi-scale augmented views from adversarial pooling.

28. Spoken language understanding via graph contrastive learning on the context-aware graph convolutional network.

29. DAPNet: multi-view graph contrastive network incorporating disease clinical and molecular associations for disease progression prediction.

30. A novel multi-view contrastive learning for herb recommendation.

31. GGN-GO: geometric graph networks for predicting protein function by multi-scale structure features.

32. Graph contrastive learning as a versatile foundation for advanced scRNA-seq data analysis.

33. XsimGCL's cross-layer for group recommendation using extremely simple graph contrastive learning.

34. Position-Aware and Subgraph Enhanced Dynamic Graph Contrastive Learning on Discrete-Time Dynamic Graph.

35. Graph Contrastive Pre-training for Anti-money Laundering

36. Harnessing Unsupervised Insights: Enhancing Black-Box Graph Injection Attacks with Graph Contrastive Learning.

37. Heterogeneous Graph Contrastive Learning with Attention Mechanism for Recommendation.

38. Joint data augmentations for automated graph contrastive learning and forecasting.

39. A Recommendation System for Trigger–Action Programming Rules via Graph Contrastive Learning.

40. Global-local aware Heterogeneous Graph Contrastive Learning for multifaceted association prediction in miRNA–gene–disease networks.

41. 基于数据与特征增强的自监督图表示学习方法.

42. BotCL: a social bot detection model based on graph contrastive learning.

43. MDGCL: Graph Contrastive Learning Framework with Multiple Graph Diffusion Methods.

44. Towards Robust Rumor Detection with Graph Contrastive and Curriculum Learning.

45. Accurate Spatial Heterogeneity Dissection and Gene Regulation Interpretation for Spatial Transcriptomics using Dual Graph Contrastive Learning

48. Joint data augmentations for automated graph contrastive learning and forecasting

49. Accurately deciphering spatial domains for spatially resolved transcriptomics with stCluster.

50. ProtoMGAE: Prototype-Aware Masked Graph Auto-Encoder for Graph Representation Learning.