Graph-Based Collaborative Filtering with MLP

Table 2

The execution time of all algorithms in different data sets.

Algorithm	ML 100K		ML 1M		ML 10M		ML 20M
	k=10	k=15	k=10	k=15	k=10	k=15	k=10	k=15
Graph+MLP	2.01	3.12	4.97	8.61	10.28	16.34	23.72	33.25
(without SVD)
Graph+MLP	1.21	2.01	3.31	5.12	8.12	10.26	15.11	19.51
KNN+GBDT	2.12	3.31	5.11	6.31	9.15	11.58	17.43	21.18
KNN+Bayes	0.91	1.87	2.98	4.67	7.21	10.07	14.87	18.91
CMF	1.12	2.11	3.51	5.33	8.44	10.51	15.67	19.32
LDA	1.23	2.23	3.71	5.87	8.81	10.79	15.98	19.83
SVD	1.02	1.91	3.02	4.71	7.31	10.13	15.03	19.21
UCF	0.87	1.31	2.72	4.32	6.98	10.01	13.97	17.61
ICF	0.92	1.52	2.88	4.41	7.05	10.12	14.01	17.76