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Table 5 Comparison experiment of hop number selection on SHS27k and SHS128k datasets

From: Long-distance dependency combined multi-hop graph neural networks for protein–protein interactions prediction

Datasets

Partition scheme

One-hop

One-hop \(+\) two-hop

One-hop \(+\) two-hop \(+\) three-hop

SHS27K

Random

\(88.72 \pm 0.44\)

89.34 \(\pm \; 0.44\)

\(88.24 \pm 0.95\)

 

BFS

\(68.84 \pm 5.49\)

74.56 \(\pm \; 3.03\)

\(68.42 \pm 6.40\)

 

DFS

\(76.92 \pm 4.28\)

78.20 \(\pm \;2.69\)

\(74.52 \pm 4.33\)

SHS148K

Random

\(92.38 \pm 0.08\)

92.54 \(\pm \; 0.21\)

\(92.28 \pm 0.13\)

 

BFS

\(70.92 \pm 5.37\)

73.98 \(\pm \; 5.51\)

\(69.01 \pm 4.36\)

 

DFS

\(82.77 \pm 1.58\)

83.79 \(\pm \;0.95\)

\(81.96 \pm 0.93\)

  1. Bold number represents the best value for that partition scheme