Node Classification on Chameleon Heterophilous Dataset (train-val-test)
60.11AccuracyH2GCN
Evaluation Results
| Method | Links | |
|---|---|---|
| H2GCN2024.07 | 60.11 | |
| GraphFM-NFTFinetuning Strategy=Node decoder finetuning2024.07 | 59.12 | |
| GraphFM-MFTFinetuning Strategy=MLP-only finetuning2024.07 | 58.64 | |
| NAGHyperparameter Tuning=Extensive2024.07 | 57.39 | |
| MLP2024.07 | 46.21 | |
| SANHyperparameter Tuning=Extensive2024.07 | 44.32 | |
| GCN2024.07 | 38.44 | |
| GAT2024.07 | 38.44 | |
| GREAD-BS2024.03 | 0.714 | |
| GGCN2024.03 | 0.711 | |
| GloGNN2024.03 | 0.698 | |
| LINKX2024.03 | 0.684 | |
| ACM-GCN2024.03 | 0.669 | |
| H2GCN2024.03 | 0.601 | |
| Geom-GCN2024.03 | 0.6 | |
| GRADE-GAT2024.03 | 0.551 | |
| ACMP-GCN2024.03 | 0.547 | |
| GRAND-l2024.03 | 0.521 | |
| GDE2024.03 | 0.478 | |
| CGNN2024.03 | 0.469 |