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. Author manuscript; available in PMC: 2022 Dec 27.
Published in final edited form as: Workshop Mach Learn HPC Environ. 2021 Dec 27;2021:46–57. doi: 10.1109/mlhpc54614.2021.00010

TABLE I.

DIPS-Plus’ effect on the MedAUROC of SOTA algorithms for protein interface prediction.1

# GNN Layers
Method 1 2 3 4
NGF [14] 0.865 (0.007) 0.871 (0.013) 0.873 (0.017) 0.869 (0.017)
DTNN [53] 0.867 (0.007) 0.880 (0.007) 0.882 (0.008) 0.873 (0.012)
Node and Edge Average [20] 0.876 (0.005) 0.898 (0.005) 0.895 (0.006) 0.889 (0.007)
NeiA+HOPI [41] 0.902 (0.012) 0.919 (0.015) 0.921 (0.009) 0.915 (0.009)
NeiWA+HOPI [41] 0.908 (0.019) 0.930 (0.016) 0.924 (0.011) 0.914 (0.013)
NeiA+HOPI+DIPS-Plus [42] 0.9426 (0.001) 0.9438 (0.001) 0.9432 (0.005) 0.9426 (0.007)
NeiWA+HOPI+DIPS-Plus [42] 0.9065 (0.029) 0.9342 (0.01) 0.9335 (0.006) 0.9384 (0.004)
1

MedAUROC: median area under the receiver operating characteristic curve. SOTA: state-of-the-art.