Node Classification On Coauthor Cs
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| HH-GCN | 94.71% | - | - |
| LinkDistMLP | 95.68% | - | - |
| LinkDist | 95.66% | - | - |
| NCSAGE | 96.48 ± 0.25 | - | - |
| CoLinkDist | 95.80% | - | - |
| Exphormer | 94.93±0.46% | - | - |
| GCN-LPA | 94.8 ± 0.4 | - | - |
| SNoRe | 88.7% | - | - |
| 3ference | 95.99% | - | - |
| SIGN | 91.98 ± 0.50 | - | - |
| CoLinkDistMLP | 95.74% | - | - |
| Graph InfoClust (GIC) | 89.4 ± 0.4 | - | - |
| GNNMoE(SAGE-like P) | 95.68±0.24 | - | - |
| DAGNN (Ours) | 92.8% | - | - |
| NCGCN | 96.64 ± 0.29 | - | - |
| GCN | 94.06% | - | - |
| GCN (PPR Diffusion) | 93.01% | - | - |
| GraphSAGE | 95.11% | - | - |
| GNNMoE(GAT-like P) | 95.72±0.23 | - | - |
| GraphMix (GCN) | 91.83 ± 0.51 | - | - |
0 of 23 row(s) selected.