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Message-passing neural networks for molecular property modelling. Evaluation should account for chemical-series overlap and the intended application domain.
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Message-passing neural networks for molecular property modelling. Evaluation should account for chemical-series overlap and the intended application domain.
Informazioni verificate rispetto a una fonte ufficiale; non un test pratico. Fonte · Ultima revisione: 14/09/2026, 18:31:56 UTC
Use this citation format when referencing Chemprop in scientific publications and benchmark papers.
@software{chemprop_2026,
title = {{Chemprop}},
author = {{Chemprop contributors}},
year = {2026},
url = {https://github.com/chemprop/chemprop},
note = {Indexed on aibioatlas - AI for Biology and Drug Discovery}
}Live scientific citations queried from Europe PMC and PubMed for Chemprop.
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Chemprop Scientific Architecture · Credit: Chemprop contributors · Open original ↗
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