Table 3 Open in new tab Experimental... | Oxford Academic

Table 3

Open in new tab

Experimental results of 5-fold CV

Methods\ Datasets	HDVD					VDA1					VDA2
	Acc.	Sen.	Spe.	AUC	AUPR	Acc.	Sen.	Spe.	AUC	AUPR	Acc.	Sen.	Spe.	AUC	AUPR
DRHGCN	0.7713	0.7689	0.7791	0.7713	0.7845	0.7298	0.7299	0.7841	0.8085	0.8271	0.7029	0.7030	0.7689	0.8177	0.7449
SANE	0.8352	0.8103	0.8580	0.8944	0.8598	0.7705	0.7489	0.7834	0.8080	0.8379	0.8019	0.7008	0.7307	0.8018	0.7553
IRNMFVDA	0.3856	0.7314	0.3631	0.8037	0.2156	0.6227	0.4852	0.6834	0.7102	0.2005	0.5317	0.6496	0.5205	0.8147	0.2971
SCPMF	0.7661	0.4693	0.7854	0.8549	0.4783	0.7150	0.4403	0.7464	0.7543	0.3684	0.7660	0.3969	0.8012	0.8293	0.3517
VDA-KATZ	0.5777	0.6995	0.5762	0.8253	0.0698	0.6691	0.6976	0.6684	0.8803	0.3380	0.7119	0.5441	0.7152	0.7743	0.0583
VDA-RWR	0.6550	0.7400	0.6700	0.7875	0.0218	0.8278	0.4824	0.7831	0.8582	0.1383	0.6613	0.5022	0.6643	0.6675	0.0322
VDA-DLCMNMF	0.8649	0.8625	0.9118	0.9299	0.9097	0.9000	0.9667	0.9333	0.9250	0.9715	0.7849	0.7688	0.8361	0.8631	0.8770

Methods\ Datasets	HDVD					VDA1					VDA2
	Acc.	Sen.	Spe.	AUC	AUPR	Acc.	Sen.	Spe.	AUC	AUPR	Acc.	Sen.	Spe.	AUC	AUPR
DRHGCN	0.7713	0.7689	0.7791	0.7713	0.7845	0.7298	0.7299	0.7841	0.8085	0.8271	0.7029	0.7030	0.7689	0.8177	0.7449
SANE	0.8352	0.8103	0.8580	0.8944	0.8598	0.7705	0.7489	0.7834	0.8080	0.8379	0.8019	0.7008	0.7307	0.8018	0.7553
IRNMFVDA	0.3856	0.7314	0.3631	0.8037	0.2156	0.6227	0.4852	0.6834	0.7102	0.2005	0.5317	0.6496	0.5205	0.8147	0.2971
SCPMF	0.7661	0.4693	0.7854	0.8549	0.4783	0.7150	0.4403	0.7464	0.7543	0.3684	0.7660	0.3969	0.8012	0.8293	0.3517
VDA-KATZ	0.5777	0.6995	0.5762	0.8253	0.0698	0.6691	0.6976	0.6684	0.8803	0.3380	0.7119	0.5441	0.7152	0.7743	0.0583
VDA-RWR	0.6550	0.7400	0.6700	0.7875	0.0218	0.8278	0.4824	0.7831	0.8582	0.1383	0.6613	0.5022	0.6643	0.6675	0.0322
VDA-DLCMNMF	0.8649	0.8625	0.9118	0.9299	0.9097	0.9000	0.9667	0.9333	0.9250	0.9715	0.7849	0.7688	0.8361	0.8631	0.8770

Best results are bolded.

Table 3

Open in new tab

Experimental results of 5-fold CV

Methods\ Datasets	HDVD					VDA1					VDA2
	Acc.	Sen.	Spe.	AUC	AUPR	Acc.	Sen.	Spe.	AUC	AUPR	Acc.	Sen.	Spe.	AUC	AUPR
DRHGCN	0.7713	0.7689	0.7791	0.7713	0.7845	0.7298	0.7299	0.7841	0.8085	0.8271	0.7029	0.7030	0.7689	0.8177	0.7449
SANE	0.8352	0.8103	0.8580	0.8944	0.8598	0.7705	0.7489	0.7834	0.8080	0.8379	0.8019	0.7008	0.7307	0.8018	0.7553
IRNMFVDA	0.3856	0.7314	0.3631	0.8037	0.2156	0.6227	0.4852	0.6834	0.7102	0.2005	0.5317	0.6496	0.5205	0.8147	0.2971
SCPMF	0.7661	0.4693	0.7854	0.8549	0.4783	0.7150	0.4403	0.7464	0.7543	0.3684	0.7660	0.3969	0.8012	0.8293	0.3517
VDA-KATZ	0.5777	0.6995	0.5762	0.8253	0.0698	0.6691	0.6976	0.6684	0.8803	0.3380	0.7119	0.5441	0.7152	0.7743	0.0583
VDA-RWR	0.6550	0.7400	0.6700	0.7875	0.0218	0.8278	0.4824	0.7831	0.8582	0.1383	0.6613	0.5022	0.6643	0.6675	0.0322
VDA-DLCMNMF	0.8649	0.8625	0.9118	0.9299	0.9097	0.9000	0.9667	0.9333	0.9250	0.9715	0.7849	0.7688	0.8361	0.8631	0.8770

Methods\ Datasets	HDVD					VDA1					VDA2
	Acc.	Sen.	Spe.	AUC	AUPR	Acc.	Sen.	Spe.	AUC	AUPR	Acc.	Sen.	Spe.	AUC	AUPR
DRHGCN	0.7713	0.7689	0.7791	0.7713	0.7845	0.7298	0.7299	0.7841	0.8085	0.8271	0.7029	0.7030	0.7689	0.8177	0.7449
SANE	0.8352	0.8103	0.8580	0.8944	0.8598	0.7705	0.7489	0.7834	0.8080	0.8379	0.8019	0.7008	0.7307	0.8018	0.7553
IRNMFVDA	0.3856	0.7314	0.3631	0.8037	0.2156	0.6227	0.4852	0.6834	0.7102	0.2005	0.5317	0.6496	0.5205	0.8147	0.2971
SCPMF	0.7661	0.4693	0.7854	0.8549	0.4783	0.7150	0.4403	0.7464	0.7543	0.3684	0.7660	0.3969	0.8012	0.8293	0.3517
VDA-KATZ	0.5777	0.6995	0.5762	0.8253	0.0698	0.6691	0.6976	0.6684	0.8803	0.3380	0.7119	0.5441	0.7152	0.7743	0.0583
VDA-RWR	0.6550	0.7400	0.6700	0.7875	0.0218	0.8278	0.4824	0.7831	0.8582	0.1383	0.6613	0.5022	0.6643	0.6675	0.0322
VDA-DLCMNMF	0.8649	0.8625	0.9118	0.9299	0.9097	0.9000	0.9667	0.9333	0.9250	0.9715	0.7849	0.7688	0.8361	0.8631	0.8770

Best results are bolded.