Node classification on Genius
92.81AccuracyHMH
Evaluation results
| Method | Links | |
|---|---|---|
| HMH2026.05 | 92.81 | |
| ChebNetII2026.05 | 92.3 | |
| SIGMA2023.05 | 91.68 | |
| HiGCNorder=42023.09 | 91.66 | |
| HiGCNorder=32023.09 | 91.6 | |
| HiGCNorder=22023.09 | 91.53 | |
| ACM-GCN++2023.09 | 91.4 | |
| GPR-GNN2026.05 | 91.2 | |
| OptBasisGNN2026.05 | 91 | |
| NFGNNscalable=false2022.12 | 90.94 | |
| GloGNN++2023.09 | 90.91 | |
| GloGNN2023.05 | 90.91 | |
| LINKX2023.05 | 90.77 | |
| MixHop2023.05 | 90.58 | |
| GCNII2023.05 | 90.24 | |
| BernNetscalable=false2022.12 | 90.13 | |
| GPRGNN2023.09 | 90.09 | |
| GPRGNNscalable=false2022.12 | 90.05 | |
| GPRGNN2023.05 | 90.05 | |
| HiGCNorder=12023.09 | 89.98 | |
| SIGN2026.05 | 89.6 | |
| BernNet2026.05 | 89 | |
| GCN2026.05 | 88.9 | |
| ChebNet2026.05 | 87.8 | |
| GCN2023.09 | 87.42 | |
| GCNscalable=false2022.12 | 87.42 | |
| GCN2023.05 | 87.42 | |
| MLP2023.09 | 86.68 | |
| MLP2023.05 | 86.68 | |
| SGC2026.05 | 86.2 | |
| ChebNet2023.09 | 85.69 | |
| APPNPscalable=false2022.12 | 85.36 | |
| S2V2023.09 | 83.21 | |
| ACMGCN2023.05 | 80.33 | |
| GAT2023.09 | 55.8 | |
| GAT2023.05 | 55.8 |