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. 2023 Dec 14;24:473. doi: 10.1186/s12859-023-05594-5

Table 1.

Performance of DL-PPI on three datasets in relation to comparative methods

Dataset Partition scheme Method
DNN-PPI TAGPPI PIPR GNN-PPI DL-PPI
SHS27k Random 72.06 85.46 84.28 87.35 89.12
BFS 50.26 49.68 47.39 68.67 72.95
DFS 59.43 63.57 54.25 71.82 78.07
SHS148k Random 87.26 89.21 91.04 90.07 92.49
BFS 56.44 55.9 59.87 67.42 68.87
DFS 59.18 67.35 62.66 84.05 85.45
STRING Random 82.04 89.03 92.76 93.61 94.85
BFS 57.89 58.93 57.15 76.85 77.53
DFS 59.52 68.04 65.48 90.38 92.76

The numbers in bold indicate the best performance

The results are reported as the Micro-F1 scores