Node Classification On Texas 60 20 20 Random
Metrics
1:1 Accuracy
Results
Performance results of various models on this benchmark
Model Name | 1:1 Accuracy | Paper Title | Repository |
|---|---|---|---|
| MLP-2 | 92.26 ± 0.71 | - | - |
| GCNII* | 88.52 ± 3.02 | - | - |
| Geom-GCN* | 67.57 | - | - |
| ACMII-GCN | 95.08 ± 2.07 | - | - |
| ACM-SGC-2 | 93.44 ± 2.54 | - | - |
| APPNP | 91.18 ± 0.70 | - | - |
| BernNet | 93.12 ± 0.65 | - | - |
| ACM-GCNII | 92.46 ± 1.97 | - | - |
| ACM-GCN++ | 96.56 ± 2 | - | - |
| NFGNN | 94.03±0.82 | - | - |
| GCN+JK | 80.66 ± 1.91 | - | - |
| SGC-2 | 81.31 ± 3.3 | - | - |
| GraphSAGE | 79.03 ± 1.20 | - | - |
| GCNII | 82.46 ± 4.58 | - | - |
| ACM-GCN+ | 94.92 ± 2.79 | - | - |
| GPRGNN | 92.92 ± 0.61 | - | - |
| ACM-SGC-1 | 93.61 ± 1.55 | - | - |
| ACMII-Snowball-2 | 95.25 ± 1.55 | - | - |
| HH-GAT | 80.54 ± 4.80 | - | - |
| GAT+JK | 75.41 ± 7.18 | - | - |
0 of 36 row(s) selected.