Node Classification on Products benchmark leaderboard · SOTA2 Research

Node Classification on Products

90.22Clean AccuracyGraphSAGE

Evaluation Results

Method	Links
GraphSAGE2026.03		90.22	90.7	90.1	89.86	90.48	90.16	—	81.06	89.58	66.28
R-GCN2026.03		89.54	89.58	89.22	88.86	89.96	89.38	—	87.42	88.56	80.52
GCN2026.03		89.44	89.8	88.96	88.96	89.72	89.32	—	86.44	88.56	75.74
TAGCN2026.03		89.08	88.74	88.58	88.3	88.4	89.06	—	83.84	88.62	79.98
GIN2026.03		88.64	88.8	88.58	88.02	88.88	87.48	—	82.26	86.82	69.12
TAGCN2026.03		88.08	80.4	86.42	84.82	82.3	87.6	86.34	86.72	85.26	80.28
R-GCN2026.03		87.38	82.98	86.34	84.48	84.16	86.92	80.84	86.02	84.66	79.06
GCN2026.03		87.26	83.66	86.2	84.18	84.26	86.86	85.66	86.36	84.04	77.58
GraphSAGE2026.03		87.08	82.76	85.74	84.64	84.14	83.46	81.38	80.72	73.48	58.6
GCN2026.03		86.48	82.12	84.28	82.28	82.98	85.38	83.92	81.2	81.9	69.04
GIN2026.03		86.08	81.54	84.28	83.06	82.86	84.02	83.6	84.24	80.4	71.18
R-GCN2026.03		86	80.7	83.28	81.54	81.58	85.28	82.08	81.84	81.56	70.84
TAGCN2026.03		85.94	78.72	82.9	82.42	79.5	85.32	83.4	83.16	82.68	74.14
GIN2026.03		85.28	79.78	82.58	81.62	81.16	81.62	68.42	75.9	75.18	53.3
GraphSAGE2026.03		83.94	78.18	81.42	80.78	79.36	80.02	80.9	70.14	71.02	50.06