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AweGNN: Auto-parametrized weighted element-specific graph neural networks for molecules
While automated feature extraction has had tremendous success in many deep learning algorithms for image analysis and natural language processing, it does not work well for data involving complex internal structures, such as molecules. Data representations via advanced mathematics, including algebra...
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| Publicat a: | Comput Biol Med |
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| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2021
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8263495/ https://ncbi.nlm.nih.gov/pubmed/34020133 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.compbiomed.2021.104460 |
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