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Efficient learning of non-autoregressive graph variational autoencoders for molecular graph generation
With the advancements in deep learning, deep generative models combined with graph neural networks have been successfully employed for data-driven molecular graph generation. Early methods based on the non-autoregressive approach have been effective in generating molecular graphs quickly and efficie...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6873411/ https://www.ncbi.nlm.nih.gov/pubmed/33430985 http://dx.doi.org/10.1186/s13321-019-0396-x |