TABLE 3.

The average ROC-AUC, PR-AUC, and F1-score of the proposed model using different feature extraction methods.

Feature extraction method	Mean ROC-AUC	Mean PR-AUC	Mean F1-score
Node2Vec (Grover and Leskovec, 2016)	0.8696	0.4110	0.2693
DeepWalk (Perozzi et al., 2014)	0.8661	0.3985	0.2408