Methods › Graphs › Graph Representation Learning › DeepDrug
DeepDrug
Introduced by Xusheng Cao et al. in DeepDrug: A General Graph-Based Deep Learning Framework for Drug Relation Prediction
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
DeepDrug is a deep learning framework to overcome these shortcomings by using graph convolutional networks to learn the graphical representations of drugs and proteins such as molecular fingerprints and residual structures in order to boost the prediction accuracy.
Papers archive 2025-07-28
1 shown of 1, 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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DeepDrug: A General Graph-Based Deep Learning Framework for Drug Relation Prediction 10 Feb 2022 · 2 repositories
Tasks archive 2025-07-28
2 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 |
|---|---|
| Relation | 1 |
| Relation 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