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Table 4 Influence of different hops on the prediction model

From: gGATLDA: lncRNA-disease association prediction based on graph-level graph attention network

  Dataset1 Dataset2
hop = 1 hop = 2 hop = 3 hop = 1 hop = 2 hop = 3
AUC 0.948 0.943 0.945 0.986 0.982 0.953
Precision 0.731 0.794 0.754 0.658 0.698 0.730
Recall 0.965 0.900 0.926 0.999 0.995 0.988
AUPR 0.953 0.948 0.951 0.985 0.983 0.950
Accuracy 0.799 0.825 0.800 0.732 0.777 0.802
F1-Score 0.830 0.838 0.824 0.791 0.819 0.837