DGL-LifeSci: An Open-Source Toolkit for Deep Learning on Graphs in Life Science

[Image: see text] Graph neural networks (GNNs) constitute a class of deep learning methods for graph data. They have wide applications in chemistry and biology, such as molecular property prediction, reaction prediction, and drug–target interaction prediction. Despite the interest, GNN-based modelin...

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Detalles Bibliográficos
Autores principales: Li, Mufei, Zhou, Jinjing, Hu, Jiajing, Fan, Wenxuan, Zhang, Yangkang, Gu, Yaxin, Karypis, George
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8529678/
https://www.ncbi.nlm.nih.gov/pubmed/34693143
http://dx.doi.org/10.1021/acsomega.1c04017

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8529678/
https://www.ncbi.nlm.nih.gov/pubmed/34693143
http://dx.doi.org/10.1021/acsomega.1c04017

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