Node Classification On Citeseer 48 32 20
Metrics
1:1 Accuracy
Results
Performance results of various models on this benchmark
Model Name | 1:1 Accuracy | Paper Title | Repository |
|---|---|---|---|
| O(d)-NSD | 76.70 ± 1.57 | - | - |
| Diag-NSD | 77.14 ± 1.85 | - | - |
| ACMII-GCN++ | 77.12 ± 1.58 | - | - |
| LINKX | 73.19 ± 0.99 | - | - |
| NLGCN | 75.2 ± 1.4 | - | - |
| MixHop | 76.26 ± 1.33 | - | - |
| GPRGCN | 77.13 ± 1.67 | - | - |
| ACM-GCN+ | 77.67 ± 1.19 | - | - |
| GloGNN++ | 77.22 ± 1.78 | - | - |
| GESN | 74.51 ± 2.14 | - | - |
| GGCN | 77.14 ± 1.45 | - | - |
| ACM-SGC-1 | 76.73 ± 1.59 | - | - |
| Geom-GCN | 78.02 ± 1.15 | - | - |
| GloGNN | 77.41 ± 1.65 | - | - |
| ACM-SGC-2 | 76.59 ± 1.69 | - | - |
| GCNII | 77.33 ± 1.48 | - | - |
| FAGCN | 77.07 ± 2.05 | - | - |
| NLGAT | 76.2 ± 1.6 | - | - |
| WRGAT | 76.81 ± 1.89 | - | - |
| ACMII-GCN+ | 77.2 ± 1.61 | - | - |
0 of 26 row(s) selected.