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Compressed graph representation for scalable molecular graph generation
Recently, deep learning has been successfully applied to molecular graph generation. Nevertheless, mitigating the computational complexity, which increases with the number of nodes in a graph, has been a major challenge. This has hindered the application of deep learning-based molecular graph genera...
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| Publicado no: | J Cheminform |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer International Publishing
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7513488/ https://ncbi.nlm.nih.gov/pubmed/33431050 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13321-020-00463-2 |
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