BuB: a builder-booster model for link prediction on knowledge graphs

Applied Network Science

Table 1 Comparison of the BuB with state-of-the-art methods

	FB15k			WN18			FB15k-237			WN18RR			YAGO3-10
	H@1	H@10	MRR	H@1	H@10	MRR	H@1	H@10	MRR	H@1	H@10	MRR	H@1	H@10	MRR
ComplEx-N3	81.56	90.53	0.848	94.53	95.5	0.949	25.72	52.97	0.349	42.55	52.12	0.458	50.48	70.35	0.576
SimplE	66.13	83.63	0.726	93.25	94.58	0.938	10.03	34.35	0.179	38.27	42.65	0.398	35.76	63.16	0.453
TuckER	72.89	88.88	0.788	94.64	95.8	0.951	25.9	53.61	0.352	42.95	51.4	0.459	46.56	68.09	0.544
RotatE	73.93	88.1	0.791	94.3	96.02	0.949	23.83	53.06	0.336	42.6	57.35	0.475	40.52	67.07	0.498
AutoSF	82.1	91	0.853	94.7	96.1	0.952	26.7	55.2	0.36	45.1	56.7	0.49	50.1	71.5	0.571
QuatE	71.1	90	0.782	94.5	95.9	0.95	24.8	55	0.348	43.8	58.2	0.488	–	–	–
QuatDE	–	–	–	94.4	96.1	0.95	26.8	56.3	0.365	43.8	58.6	0.489	–	–	–
ConvE	59.46	84.94	0.688	93.89	95.68	0.945	21.90	47.62	0.305	38.99	50.75	0.427	39.93	65.75	2429
ConvKB	11.44	40.83	0.211	52.89	94.89	0.709	13.98	41.46	0.230	5.63	52.50	0.249	32.16	60.47	1683
ConvR	70.57	88.55	0.773	94.56	95.85	0.950	25.56	52.63	0.346	43.73	52.68	0.467	44.62	67.33	2582
CapsE	1.93	21.78	0.087	84.55	95.08	0.890	7.34	35.60	0.160	33.69	55.98	0.415	0.00	0.00	60,676
AnyBURL	81.09	87.86	0.835	94.63	95.96	0.951	24.03	48.93	0.324	44.93	55.97	0.485	45.83	66.07	0.528
BuB	82.5	91	0.856	94.8	96.5	0.9534	27.2	0.558	0.367	45.1	58.25	0.496	51.35	71.45	0.584