Nonlinear Structural Fusion for Multiplex Network

Table 2

Link prediction task.

Algorithm	Datasets
	Celegans	CKM	CS-Aarhus	London	VICKERS	Ack-Co-author
Node2Vec	0.7847	0.8021	0.8997	0.6816	0.6667	0.5097
Ohmnet	0.8427	0.8576	0.8826	0.3580	0.7841	0.8060
PMNE(n)	0.5012	0.4773	0.5154	0.4993	0.5013	0.4981
PMNE(r)	0.4945	0.5043	0.5205	0.4782	0.5002	0.5076
PMNE(c)	0.5003	0.4757	0.5047	0.5043	0.4955	0.4983
MNE	0.6313	0.7902	0.8842	0.4526	0.7048	0.7093
MELL	0.8085	0.7599	0.9014	0.4991	0.7923	0.7227
GraphSAGE	0.7629	0.8521	0.7023	0.5160	0.7571	0.3991
CN	0.7467	0.6517	0.8855	0.5054	0.7932	0.5104
JC	0.7330	0.6526	0.8883	0.5054	0.7864	0.5102
AA	0.7524	0.6523	0.8962	0.5054	0.8145	0.6968
AAMT	0.8604	0.8239	0.9232	0.5266	0.7389	0.6968
MNSF	0.8112	0.9181	0.9250	0.7751	0.8169	0.8105

All numbers are the averaged AUC scores based on 10 time calculations.