Traditional ML and deep learning are tied in accuracy on 72 dynamic PSN datasets for protein structure classification, with DL over 10 times slower.
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Traditional machine learning vs. deep learning from dynamic graph representations of proteins' 3D folds in the task of protein structure classification
Traditional ML and deep learning are tied in accuracy on 72 dynamic PSN datasets for protein structure classification, with DL over 10 times slower.