Table 2.

Results of multiple models on Zheng’s dataset

Strategies	Methods	AUC	AUPR	SEN	PRE	F1-score
Traditional	CF17	0.8103	0.4267	–	0.3616	0.3222
Traditional	LPI-NRLMF24	0.8287	0.401	–	–	–
Traditional	LPI-PPSN25	0.9098	–	–	–	–
Traditional	LPI-KTASLP31	0.9152	0.7173	–	0.364	0.3488
Network based	RWR23	0.9282	0.2813	–	0.2864	0.3397
Network based	LPI-HN27	0.9315	0.2472	–	0.3913	0.3938
Network based	LPI-BNI28	0.9407	0.3336	–	–	–
Network based	LPI-MFFKL26	0.9669	0.7062	–	–	–
Network based	LPI-FKLGCCN36	0.9639	0.5212	0.1363	0.2362	–
Deep learning	LPI-KCGCN38	0.9907	0.9267	0.7377	0.9823	0.8426
Deep learning	FMSRT-LPI	0.9916	0.9861	0.9799	0.9609	0.9744