Node Classification on Actor (60%/20%/20% random splits)
42.08AccuracyClenshawGCN
Evaluation results
| Method | Links | ||
|---|---|---|---|
| ClenshawGCN2022.10 | 42.08 | — | |
| ClenshawGCNSplits=20 random 60%/20%/20% train/validation/test2022.10 | 42.08 | — | |
| ChebNetIISplits=20 random 60%/20%/20% train/validation/test2022.10 | 41.75 | — | |
| BernNetSplits=20 random 60%/20%/20% train/validation/test2022.10 | 41.71 | — | |
| JacobiConv2025.12 | 41.17 | — | |
| MLP2022.10 | 40.18 | — | |
| GPRGNNSplits=20 random 60%/20%/20% train/validation/test2022.10 | 39.91 | — | |
| APPNPSplits=20 random 60%/20%/20% train/validation/test2022.10 | 39.76 | — | |
| GPR-GNN2025.12 | 39.3 | — | |
| H2GCN2022.10 | 38.85 | — | |
| H2GCN2025.12 | 38.85 | — | |
| MLP2025.12 | 38.48 | — | |
| ATLAS2025.12 | 38.48 | — | |
| GBK-GNN2025.12 | 38.47 | — | |
| ATLAS-LPF2025.12 | 38.44 | — | |
| OrderedGNN2025.12 | 37.99 | — | |
| GloGNN2025.12 | 37.7 | — | |
| ARMASplits=20 random 60%/20%/20% train/validation/test2022.10 | 37.67 | — | |
| FSGNN2025.12 | 37.65 | — | |
| ChebNetSplits=20 random 60%/20%/20% train/validation/test2022.10 | 37.42 | — | |
| GCNII2022.10 | 36.89 | — | |
| CMGNN2025.12 | 36.82 | — | |
| M2M-GNN2025.12 | 36.72 | — | |
| ACM-GCN2025.12 | 36.12 | — | |
| LinkX2025.12 | 35.64 | — | |
| ATLAS-LPF-NF2025.12 | 34.72 | — | |
| ATLAS-NF2025.12 | 34.26 | — | |
| SAGE2025.12 | 34.08 | — | |
| GCN2022.10 | 33.26 | — | |
| MixHop2022.10 | 33.13 | — | |
| GCN+JK2022.10 | 32.72 | — | |
| FAGCN2025.12 | 31.59 | — | |
| GAT2025.12 | 29.11 | — | |
| GCN2025.12 | 28.49 | — | |
| Geom-GCNsplit=60%/20%/20%2023.06 | — | 31.96 |