Node Classification on Pubmed (Accuracy, ECE, NLL, AUROC)
98.25AccuracySCL-GNN
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| SCL-GNNBackbone=GAT2026.03 | 98.25 | — | — | — | — | |
| CANETBackbone=GAT2026.03 | 97.4 | — | — | — | — | |
| SCL-GNNBackbone=GCN2026.03 | 97.24 | — | — | — | — | |
| CANETBackbone=GCN2026.03 | 96.13 | — | — | — | — | |
| SRGNNBackbone=GAT2026.03 | 91.75 | — | — | — | — | |
| GCN + G-ΔUQBackbone=GCN2026.02 | 91.3 | 0.006 | 0.236 | 0.129 | 86.3 | |
| GAT + G-ΔUQBackbone=GAT2026.02 | 91.3 | 0.006 | 0.236 | 0.129 | 86.3 | |
| SRGNNBackbone=GCN2026.03 | 90.89 | — | — | — | — | |
| GCN + SIGHTBackbone=GCN2026.02 | 90 | 0.009 | 0.275 | 0.149 | 85.5 | |
| GCNBackbone=GCN2026.02 | 88 | 0.008 | 0.306 | 0.173 | 85.2 | |
| GATBackbone=GAT2026.02 | 88 | 0.008 | 0.306 | 0.173 | 85.2 | |
| GAT + SIGHTBackbone=GAT2026.02 | 86 | 0.012 | 0.376 | 0.208 | 81.6 | |
| EERMBackbone=GAT2026.03 | 84.1 | — | — | — | — | |
| EERMBackbone=GCN2026.03 | 82.79 | — | — | — | — | |
| StableGNNBackbone=GAT2026.03 | 72.25 | — | — | — | — | |
| StableGNNBackbone=GCN2026.03 | 71.85 | — | — | — | — |