A structured review of graph-based deep learning for small molecule drug discovery, organized around six prediction and generation tasks.
A context-aware deconfounding autoencoder for robust prediction of personalized clinical drug response from cell-line compound screening,
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Graph-structured Small Molecule Drug Discovery Through Deep Learning: Progress, Challenges, and Opportunities
A structured review of graph-based deep learning for small molecule drug discovery, organized around six prediction and generation tasks.