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SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Can Contrastive Learning Work - SimCLR Explained
Adversarial Graph Contrastive Learning with Information Regularization
[SIG Asia 2023] GARM-LS: A Gradient-Augmented Reference-Map Method for Level-Set Fluid Simulation
[ICML 2024] Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs
Semi-supervised learning of multiple scene interpretations by neural graph consensus [AAAI2021]
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Last Updated: August 18, 2026
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![[rfp0950] Graph Contrastive Learning with Cohesive Subgraph Awareness](https://i.ytimg.com/vi/XLaXTIMSG_0/mqdefault.jpg)
![[SIG Asia 2023] GARM-LS: A Gradient-Augmented Reference-Map Method for Level-Set Fluid Simulation](https://i.ytimg.com/vi/EN2_eJ98dPg/mqdefault.jpg)
![[ICML 2024] Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs](https://i.ytimg.com/vi/JKN68PDYSSA/mqdefault.jpg)
![Semi-supervised learning of multiple scene interpretations by neural graph consensus [AAAI2021]](https://i.ytimg.com/vi/y6sL-lVTPic/mqdefault.jpg)
