Node Classification on Cora ML (Accuracy RAP 0%-25%) benchmark leaderboard · SOTA2 Research

Node Classification on Cora ML (Accuracy RAP 0%-25%)

85.24Accuracy (RAP 0%)TopFeaRe

Evaluation Results

Method	Links
TopFeaRe2026.04		85.24	82.93	82.19	81.5	80.86	79.2
TopFeaRe2026.04		85.24	83.57	83.27	83.07	83.05	82.94
TopFeaRe2026.04		85.24	83.54	82.91	82.42	81.6	80.78
GCN-Jaccard2026.04		84.23	78.96	74.41	70.28	65.52	59.23
GCN-Jaccard2026.04		84.23	83.34	82.48	81.53	81.31	81.17
GCN-Jaccard2026.04		84.23	83	81.77	80.61	79.15	77.52
GCN-SVD2026.04		82.71	81.64	80.54	78.57	69.67	62.79
GCN-SVD2026.04		82.71	82.29	81.64	81.18	81.1	80.8
GCN-SVD2026.04		82.71	81.48	80	79.01	77.3	75.9