Methods › Graphs › Graph Representation Learning › InfoGraph
InfoGraph
Introduced by Fan-Yun Sun et al. in InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
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
3 shown of 3, 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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On the Adversarial Robustness of Graph Contrastive Learning Methods 29 Nov 2023 · 0 repositories · arXiv:2311.17853
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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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InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization 31 Jul 2019 · 5 repositories · arXiv:1908.01000
Tasks archive 2025-07-28
7 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Graph Classification | 2 |
| Representation Learning | 2 |
| Adversarial Robustness | 1 |
| Contrastive Learning | 1 |
| Molecular Property Prediction | 1 |
| Node Classification | 1 |
| Property Prediction | 1 |
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