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Table 7 Results of the ablation experiment with the associated number under five-fold cross-validation

From: Predicting abiotic stress-responsive miRNA in plants based on multi-source features fusion and graph neural network

Models

Known associations

AUPR

AUC

GIN

200

0.9443

0.8881

300

0.9604

0.9208

400

0.9665

0.9324

600

0.9716

0.9548

823

0.9824

0.9743

200

0.9415

0.8852

300

0.9424

0.8944

GraphSAGE

400

0.9504

0.9043

600

0.9606

0.9356

823

0.9726

0.9612

200

0.8933

0.8138

300

0.9010

0.8327

GCN

400

0.9135

0.8503

600

0.9227

0.8839

823

0.9494

0.9306

200

0.8832

0.8256

300

0.8919

0.8345

GAT

400

0.8910

0.8675

600

0.9009

0.8937

823

0.9136

0.9127

  1. Bold indicates the maximum value of the column