Results

There are some reproduced model results using NeuralKG

FB15K237

Method	MRR	Hit@1	Hit@3	Hit@10
TransE	0.32	0.23	0.36	0.51
TransR	0.23	0.16	0.26	0.38
TransH	0.31	0.2	0.34	0.50
DistMult	0.30	0.22	0.33	0.48
ComplEx	0.25	0.17	0.27	0.40
SimplE	0.16	0.09	0.17	0.29
ConvE	0.32	0.23	0.35	0.50
RotatE	0.33	0.23	0.37	0.53
BoxE	0.32	0.22	0.36	0.52
HAKE	0.34	0.24	0.38	0.54
PairRE	0.35	0.25	0.38	0.54
DualE	0.33	0.24	0.36	0.52
XTransE	0.29	0.19	0.31	0.45
RGCN	0.25	0.16	0.27	0.43
KBAT*	0.28	0.18	0.31	0.46
CompGCN	0.34	0.25	0.38	0.52
IterE	0.29	0.20	0.32	0.48

WN18RR

Method	MRR	Hit@1	Hit@3	Hit@10
TransE	0.22	0.01	0.40	0.52
TransR	0.16	0	0.31	0.35
TransH	0.17	0	0.33	0.43
DistMult	0.43	0.40	0.44	0.48
ComplEx	0.44	0.41	0.46	0.51
SimplE	0.41	0.38	0.42	0.45
ConvE	0.42	0.38	0.43	0.50
RotatE	0.45	0.42	0.46	0.49
BoxE	0.41	0.35	0.44	0.50
HAKE	0.49	0.45	0.51	0.58
PairRE	0.45	0.40	0.47	0.55
DualE	0.48	0.44	0.50	0.56
XTransE	0.19	0	0.33	0.44
RGCN	0.30	0.26	0.33	0.36
KBAT*	0.41	0.36	0.42	0.51
CompGCN	0.46	0.42	0.47	0.52
IterE	0.41	0.35	0.43	0.50

FB15K

Method	MRR	Hit@1	Hit@3	Hit@10
RugE	0.76	0.70	0.81	0.85

*:There is a label leakage error in KBAT, so the corrected result is poor compared with the paper result. Details in https://github.com/deepakn97/relationPrediction/issues/28