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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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| 出版年: | J Cheminform |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Springer International Publishing
2020
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| 主題: | |
| オンライン･アクセス: | 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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