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Por DeepGraphLearning / TorchDrug contributors →
Machine-learning toolbox for molecular graphs and drug research. Framework compatibility and dataset quality require review; a library does not provide validated drug candidates.
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Machine-learning toolbox for molecular graphs and drug research. Framework compatibility and dataset quality require review; a library does not provide validated drug candidates.
Información cotejada con una fuente oficial; no es un ensayo experimental directo. Fuente · Última revisión: 16/09/2026, 17:33:40 UTC
Use this citation format when referencing TorchDrug in scientific publications and benchmark papers.
@software{torchdrug_2026,
title = {{TorchDrug}},
author = {{DeepGraphLearning / TorchDrug contributors}},
year = {2026},
url = {https://github.com/DeepGraphLearning/torchdrug},
note = {Indexed on aibioatlas - AI for Biology and Drug Discovery}
}Live scientific citations queried from Europe PMC and PubMed for TorchDrug.
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TorchDrug Scientific Architecture · Credit: DeepGraphLearning / TorchDrug contributors · Open original ↗
Research and editorial use Source & attribution ↗ License ↗
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Mila and Valence Discovery Release TorchDrug 0.3 with Geometric Deep Learning Benchmarks
31 May 2026
See project access and maintenance status
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