Node Classification on Wisconsin (10 splits)
89.41AccuracySheaf
Evaluation Results
| Method | Links | |
|---|---|---|
| Sheaf2022.11 | 89.41 | |
| GREAD-BS2022.11 | 89.41 | |
| ACM-GCN2022.11 | 88.43 | |
| GREAD-FB*2022.11 | 88.04 | |
| H2GCN2022.11 | 87.65 | |
| GREAD-FB2022.11 | 87.65 | |
| GRAFF2022.11 | 87.45 | |
| GloGNN2022.11 | 87.06 | |
| GGCN2022.11 | 86.86 | |
| GREAD-ST2022.11 | 86.67 | |
| GREAD-F2022.11 | 86.47 | |
| GREAD-Z2022.11 | 86.29 | |
| GREAD-AC2022.11 | 86.08 | |
| SimP-GCN2023.12 | 85.49 | |
| BLEND2022.11 | 84.12 | |
| GCNII2022.11 | 80.39 | |
| GRAND2022.11 | 79.41 | |
| LINKX2022.11 | 75.49 | |
| CGNN2022.11 | 74.31 | |
| UGCN2023.12 | 69.89 | |
| Geom-GCN2022.11 | 64.51 | |
| Geom-GCN2023.12 | 64.12 |