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When Does Self-Supervision Help Graph Convolutional Networks?

, , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 10871-10880. PMLR, (2020)

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Graph Contrastive Learning Automated., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 12121-12132. PMLR, (2021)An Optimization Approach of Compressive Sensing Recovery Using Split Quadratic Bregman Iteration with Smoothed ℓ0 Norm., , , , and . IPAS, page 226-231. IEEE, (2018)Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative., , , , , and . NeurIPS, (2022)Graph Domain Adaptation via Theory-Grounded Spectral Regularization., , , and . ICLR, OpenReview.net, (2023)Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How., , , , and . ICLR, OpenReview.net, (2022)Cross-Modality Protein Embedding for Compound-Protein Affinity and Contact Prediction., and . CoRR, (2020)Probabilistic Constructive Interference Precoding for Imperfect CSIT., , , , and . IEEE Trans. Veh. Technol., 70 (4): 3932-3937 (2021)L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks., , , and . CVPR, page 2124-2132. Computer Vision Foundation / IEEE, (2020)When Does Self-Supervision Help Graph Convolutional Networks?, , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 10871-10880. PMLR, (2020)Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations., , , and . WSDM, page 1300-1309. ACM, (2022)