Entity Regression on RelBench v1.0 (test)

18.4CTR (Avito Ad)Rel GT

Evaluation Results

Method
Rel GT2025.10	18.4	3.4	17.5	22.6	13.1	28.8	17	—	—	12.4	9.4	—	—	—	—	—
RDL GNN2025.10	18.3	3.7	21.9	21.8	17.9	4	18.8	—	—	7.6	14.3	—	—	—	—	—
Rel GNN2025.10	15.6	3.5	17.9	22.1	12.2	9.5	19.7	—	—	20.7	12.8	—	—	—	—	—
Griffin2025.10	8.4	25.2	32.9	30.4	42.7	2.4	18.2	—	—	0.6	19.5	—	—	—	—	—
Griffin2025.10	5.9	23.4	30.7	31.1	41.8	6.8	11.2	—	—	29.9	22.6	—	—	—	—	—
RTzero2026.04	5.8	57.996	18.802	8.9	11	45.5	73.999	1.24	—	—	—	2.901	0.379	14	—	—
RTzero2026.05	5.8	—	—	57.996	11	—	73.999	1.24	—	—	—	2.901	0.379	14.89	45.5	18.802
Griffin2026.04	5	53.214	35.59	15.1	9.2	46.3	78.232	1.471	—	—	—	4.46	0.461	15.44	—	—
Griffin2026.05	5	—	—	53.214	9.2	—	78.232	1.471	—	—	—	4.46	0.461	16.44	46.3	35.59
HGTPE2026.04	4.8	55.849	15.864	6.4	6.8	44	42.648	0.992	—	—	—	4.392	0.261	10	—	—
HGTPE2026.05	4.8	—	—	55.849	6.8	—	42.648	0.992	—	—	—	4.392	0.261	10.83	44	15.864
Entity Median2026.04	4.6	66.436	17.423	7.8	6.9	44.1	57.93	1.19	—	—	—	8.519	0.269	14	—	—
HGT2026.04	4.6	55.868	15.412	6.4	6.8	44.3	45.169	0.988	—	—	—	4.226	0.264	10.44	—	—
Entity Median2026.05	4.6	—	—	66.436	6.9	—	57.93	1.19	—	—	—	8.519	0.269	15.06	44.1	17.423
HGT2026.05	4.6	—	—	55.868	6.8	—	45.169	0.988	—	—	—	4.226	0.264	11.61	44.3	15.412
RT2025.10	4.5	36.8	47.4	39	36.5	6.4	43.4	—	—	51.6	33.2	—	—	—	—	—
DS+AutoGluon*2026.04	4.5	45.39	14.399	4.3	6.8	43	44.706	0.918	—	—	—	4.251	0.256	7.11	—	—
DS+AutoGluon2026.05	4.5	—	—	45.39	6.8	—	44.706	0.918	—	—	—	4.251	0.256	8.39	43	14.399
DS+LightGBM2026.04	4.4	41.122	13.928	3.6	6.5	40.7	40.581	0.879	—	—	—	3.963	0.284	5.11	—	—
DS+TabPFN-2.5*2026.04	4.4	47.908	15.631	5.9	8	43.2	47.168	1.009	—	—	—	4.373	0.318	10.11	—	—
TabPFN-2.5*2026.04	4.4	60.996	17.513	9.6	10.4	46.9	55.187	1.258	—	—	—	4.446	0.527	14.78	—	—
DS+LightGBM2026.05	4.4	—	—	41.122	6.5	—	40.581	0.879	—	—	—	3.963	0.284	5.56	40.7	13.928
DS+TabPFN-2.52026.05	4.4	—	—	47.908	8	—	47.168	1.009	—	—	—	4.373	0.318	11.11	43.2	15.631
TabPFN-2.52026.05	4.4	—	—	60.996	10.4	—	55.187	1.258	—	—	—	4.446	0.527	15.78	46.9	17.513
Global Median2026.04	4.3	64.234	16.783	7.6	6.8	46.2	57.533	1.062	—	—	—	4.399	0.264	12.78	—	—
Global Median2026.05	4.3	—	—	64.234	6.8	—	57.533	1.062	—	—	—	4.399	0.264	13.22	46.2	16.783
LightGBM2026.04	4.1	60.569	16.783	7.6	6.8	42.5	44.011	1	—	—	—	4.17	0.264	10.22	—	—
GraphSAGE2026.04	4.1	50.053	14.313	5.6	6.5	40	44.473	0.918	—	—	—	4.022	0.258	6.33	—	—
LightGBM2026.05	4.1	—	—	60.569	6.8	—	44.011	1	—	—	—	4.17	0.264	10.61	42.5	16.783
GraphSAGE2026.05	4.1	—	—	50.053	6.5	—	44.473	0.918	—	—	—	4.022	0.258	7.17	40	14.313
RelGNN2026.04	3.7	48.767	14.23	5.4	6.5	30.1	44.461	0.861	—	—	—	3.798	0.238	4.44	—	—
RelGNN2026.05	3.7	—	—	48.767	6.5	—	44.461	0.861	—	—	—	3.798	0.238	4.94	30.1	14.23
KumoRFM2026.02	3.5	55.254	16.161	4	6.5	41.7	58.231	1.088	—	—	—	—	—	—	—	—
RelGT2026.02	3.5	48.922	14.267	5.4	6.5	32.6	43.992	1	—	—	—	—	—	—	—	—
RelGT2026.04	3.5	48.922	14.267	5.4	6.5	32.6	43.992	0.869	—	—	—	3.917	0.25	4.67	—	—
KumoRFM-12026.04	3.5	55.254	16.161	4	6.5	41.7	58.231	0.908	—	—	—	2.747	0.264	7.22	—	—
RelGT2026.05	3.5	—	—	48.922	6.5	—	43.992	0.869	—	—	—	3.917	0.25	5.33	32.6	14.267
KumoRFM-v12026.05	3.5	—	—	55.254	6.5	—	58.231	0.908	—	—	—	2.747	0.264	7.78	41.7	16.161
RDBLearn2026.02	3.4	48.559	14.54	6.4	6.6	42.4	43.913	1.074	—	—	—	—	—	—	—	—
RDBLearn2026.04	3.4	48.559	14.54	6.4	6.8	42.4	43.913	0.906	—	—	—	3.834	0.237	5.89	—	—
KumoRFM-22026.04	3.4	46.992	13.921	3.4	6.4	43.3	43.293	0.822	—	—	—	2.854	0.235	2.67	—	—
RDBLearn2026.05	3.4	—	—	48.559	6.8	—	43.913	0.906	—	—	—	3.834	0.237	6.33	42.4	14.54
KumoRFM-v22026.05	3.4	—	—	46.992	6.4	—	43.293	0.822	—	—	—	2.854	0.235	3.11	43.3	13.921
RELAGENT2026.05	3.3	—	—	41.765	6.4	—	37.194	0.817	—	—	—	4.019	0.241	2.83	38.6	13.949
RT2025.10	1.5	31.5	47.9	45.7	37.1	8.8	41.3	—	—	33.7	28.4	—	—	—	—	—