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Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices.

, , , , and . WWW, page 1538-1549. ACM, (2022)

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Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices., , , , and . WWW, page 1538-1549. ACM, (2022)A Closer Look At Scoring Functions And Generalization Prediction., , and . ICASSP, page 1-5. IEEE, (2023)How do Quadratic Regularizers Prevent Catastrophic Forgetting: The Role of Interpolation., , , and . CoLLAs, volume 199 of Proceedings of Machine Learning Research, page 819-837. PMLR, (2022)Leveraging Graph Diffusion Models for Network Refinement Tasks., , , , , , , , , and . CoRR, (2023)Analyzing Data-Centric Properties for Graph Contrastive Learning., , , , and . NeurIPS, (2022)Large Generative Graph Models., , , , , , , , and . CoRR, (2024)Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks., , , , and . ICLR, OpenReview.net, (2024)Analyzing Data-Centric Properties for Contrastive Learning on Graphs., , , , and . CoRR, (2022)Leveraging the Graph Structure of Neural Network Training Dynamics., , , , and . CIKM, page 4545-4549. ACM, (2022)A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias., , and . ICLR, OpenReview.net, (2023)