Node Classification on Pubmed 20% Uniform Noise (test)
80.3AccuracyICGNN
Evaluation results
| Method | Links | |
|---|---|---|
| ICGNNYear=2025, Backbone=GCN2026.01 | 80.3 | |
| ICGNNNoise Type=Uniform, Noise Rate=20%2026.01 | 80.3 | |
| CR-GNNYear=2024, Backbone=GCN2026.01 | 80.1 | |
| RTGNNYear=2023, Backbone=GCN2026.01 | 79.8 | |
| DND-NETYear=2024, Backbone=GCN2026.01 | 79.4 | |
| ProConYear=2025, Backbone=GCN2026.01 | 79.1 | |
| NRGNNYear=2021, Backbone=GCN2026.01 | 79 | |
| Coteaching+Year=2019, Backbone=GCN2026.01 | 78.6 | |
| CGNNYear=2023, Backbone=GCN2026.01 | 78.1 | |
| ForwardYear=2017, Backbone=GCN2026.01 | 77.4 | |
| GCNYear=2017, Backbone=GCN2026.01 | 77.3 | |
| LaT-IBCategory=Ours2025.12 | 73.4 | |
| PIGNNNoise Type=Uniform, Noise Rate=20%2026.01 | 71.8 | |
| GIB (L_SCE)Category=Robust Loss2025.12 | 71.63 | |
| UnionNETNoise Type=Uniform, Noise Rate=20%2026.01 | 70.2 | |
| CPNoise Type=Uniform, Noise Rate=20%2026.01 | 68.4 | |
| CLNodeNoise Type=Uniform, Noise Rate=20%2026.01 | 67.7 | |
| CGNN+GIBCategory=Denoise + IB2025.12 | 65.47 | |
| D-GNNNoise Type=Uniform, Noise Rate=20%2026.01 | 65.2 | |
| GIBCategory=Classic2025.12 | 64.3 | |
| IS-GIBCategory=Improved IB2025.12 | 64.3 | |
| RNCGLN+GIBCategory=Denoise + IB2025.12 | 63.43 | |
| GIB (L_GCE)Category=Robust Loss2025.12 | 61.67 | |
| CurvGIBCategory=Improved IB2025.12 | 54.67 |