Methods › Graphs › Graph Representation Learning › GraphCL
Graph contrastive learning with augmentations
GraphCL
Introduced by Yuning You et al. in Graph Contrastive Learning with Augmentations
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
The archive carries no description for this method.
Papers archive 2025-07-28
7 shown of 7, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation 20 Nov 2024 · 0 repositories · arXiv:2411.13147
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On the Adversarial Robustness of Graph Contrastive Learning Methods 29 Nov 2023 · 0 repositories · arXiv:2311.17853
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BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs 6 Jun 2023 · 1 repository · arXiv:2306.03355
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Models and Benchmarks for Representation Learning of Partially Observed Subgraphs 1 Sep 2022 · 1 repository · arXiv:2209.00508
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Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations 4 Jan 2022 · 1 repository · arXiv:2201.01702
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Graph Contrastive Learning Automated 10 Jun 2021 · 2 repositories · arXiv:2106.07594Syntology ran 3 of 6 samples · 3 unverified · 5 pointer-only (licence)
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Graph Contrastive Learning with Augmentations 22 Oct 2020 · 4 repositories · arXiv:2010.13902Syntology ran 17 of 19 samples · 2 unverified · 18 pointer-only (licence)
Tasks archive 2025-07-28
15 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections