Efficient learning of non-autoregressive graph variational autoencoders for molecular graph generation
Abstract 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 an...
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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BMC
2019-11-01
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| coleção: | Journal of Cheminformatics |
| Assuntos: | |
| Acesso em linha: | http://link.springer.com/article/10.1186/s13321-019-0396-x |
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