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Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning.

, , , , , and . IJCAI, page 1477-1483. ijcai.org, (2021)

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Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating., , , , and . CoRR, (2022)Improving Augmentation Consistency for Graph Contrastive Learning., , , and . Pattern Recognit., (April 2024)Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming., , , , , , and . CoRR, (2021)Breaking the curse of dimensional collapse in graph contrastive learning: A whitening perspective., , , , , and . Inf. Sci., (February 2024)A survey on fairness-aware recommender systems., , , , , , and . Inf. Fusion, (December 2023)Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation., , , , , , , and . WWW, page 684-693. ACM, (2023)PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection., , , and . ICDM, page 1253-1258. IEEE, (2023)Heterogeneous Graph Attention Network for Small and Medium-Sized Enterprises Bankruptcy Prediction., , , and . PAKDD (1), volume 12712 of Lecture Notes in Computer Science, page 140-151. Springer, (2021)Unifying Graph Contrastive Learning with Flexible Contextual Scopes., , , , , and . ICDM, page 793-802. IEEE, (2022)CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning., , , , , , and . IJCAI, page 2101-2107. ijcai.org, (2022)