Standardizing structural isomeric relationships and evaluating their distribution in chemical space remain significant challenges in cheminformatics. Here, the authors propose a molecular ...
Abstract: Structural pruning enables model acceleration by removing structurally-grouped parameters from neural networks. However, the parameter-grouping patterns vary widely across different models, ...
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