Node Classification on Wisconsin (60%/20%/20%)
98Test AccuracyP2GNN
Evaluation Results
| Method | Links | |
|---|---|---|
| P2GNNBackbone=ACM-GCN2026.03 | 98 | |
| ACMII-Snowball-32021.09 | 97 | |
| ACMII-Snowball-22021.09 | 96.63 | |
| ACM-Snowball-32021.09 | 96.62 | |
| ACMII-GCN2021.09 | 96.62 | |
| ACM-Snowball-22021.09 | 96.38 | |
| ACM-GCN2026.03 | 96.12 | |
| ACM-GCN2021.09 | 95.75 | |
| ACM-GCNII2021.09 | 94.63 | |
| ACM-GCNII*2021.09 | 94.37 | |
| ACM-SGC-22021.09 | 94 | |
| MLP-2*2021.09 | 93.87 | |
| MLP2026.03 | 93.87 | |
| GPRGNN*2021.09 | 93.75 | |
| GPRGNN2026.03 | 93.75 | |
| ACM-SGC-12021.09 | 93.25 | |
| APPNP*2021.09 | 92 | |
| FAGCN2021.09 | 89.75 | |
| FAGCN2026.03 | 89.75 | |
| GCNII*2021.09 | 89.12 | |
| H2GCN2021.09 | 87.5 | |
| H2GCN2026.03 | 87.5 | |
| GGCN2026.03 | 87.25 | |
| GloGNN++2026.03 | 83.75 | |
| GCNII2021.09 | 83.25 | |
| GCNII2026.03 | 83.25 | |
| MixHop2021.09 | 77.25 | |
| GCN2021.09 | 75.5 | |
| Snowball-22021.09 | 74.88 | |
| Snowball-22026.03 | 74.88 | |
| SGC-22021.09 | 74.75 | |
| SGC-22026.03 | 74.75 | |
| GAT*2021.09 | 71.01 | |
| GAT2026.03 | 71.01 | |
| SGC-12021.09 | 70.38 | |
| GAT+JK2021.09 | 69.5 | |
| Snowball-32021.09 | 69.5 | |
| GAT+JK2026.03 | 69.5 | |
| Snowball-32026.03 | 69.5 | |
| GraphSAGE2021.09 | 64.85 | |
| Geom-GCN†2021.09 | 64.12 | |
| GCN+JK2021.09 | 62.5 | |
| GCN+JK2026.03 | 62.5 |