Hyperparameters used for training various models on five different protein datasets.
收藏Figshare2026-03-25 更新2026-04-28 收录
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https://figshare.com/articles/dataset/_p_Performance_of_CNN_and_GCN_models_with_biophysics_BP_and_additional_LLR_augment_BP_LLR_against_METL-local_1_and_GVP-MSA_multi-protein_2_on_mutational_A_and_positional_B_extrapolation_tests_p_/31855065
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The table lists the batch size (32, 64, 128, 1024, 2048), learning rate (0.005, 1 × 10 – ³, 1 × 10 ⁻ ⁴), number of dense layers (1, 2, 3), and number of nodes for NN models (100, 200). For CNN models, the number of convolutional layers and filter sizes are reported, while for GCN models, the graph thresholds (in Å) are specified. If mutational or positional splits used different hyperparameters, they are indicated separately within the corresponding cell. (XLSX)
创建时间：
2026-03-25
