Table 2.

The experimental results of NRL-based methods with different classifiers.

		Acc	F1	AUROC	AUPRC
Logistic	LINE	0.5272(0.0131)	0.5172(0.0125)	0.5596(0.0138)	0.5391(0.0248)
Regression	node2vec	0.6483(0.0163)	0.6483(0.0163)	0.6899(0.0236)	0.6409(0.0208)
	DeepWalk	0.5793(0.0250)	0.5793(0.0150)	0.6658(0.0216)	0.6153(0.0200)
Random	LINE	0.6176(0.0188)	0.6276(0.0188)	0.6208(0.0216)	0.6057(0.0263)
Forest	node2vec	0.7172(0.0117)	0.7012(0.0217)	0.7400(0.0126)	0.7191(0.0203)
	DeepWalk	0.6959(0.0215)	0.6759(0.0163)	0.7336(0.0185)	0.7008(0.0202)