Node Classification on Amazon Photo (random 60/20/20 split)
94.7Accuracy (%)NoMem
Evaluation Results
| Method | Links | |
|---|---|---|
| NoMemHyperparameter Tuning=per-model, Measurement=mean ± std over 10 seeds2026.03 | 94.7 | |
| LSEHyperparameter Tuning=per-model, Measurement=mean ± std over 10 seeds2026.03 | 94.5 | |
| LSRHyperparameter Tuning=per-model, Measurement=mean ± std over 10 seeds2026.03 | 94.4 | |
| Hier(8)Hyperparameter Tuning=per-model, Measurement=mean ± std over 10 seeds2026.03 | 94.2 | |
| GraphSAGEHyperparameter Tuning=per-model, Measurement=mean ± std over 10 seeds2026.03 | 93.9 | |
| GINHyperparameter Tuning=per-model, Measurement=mean ± std over 10 seeds2026.03 | 93 | |
| GATHyperparameter Tuning=per-model, Measurement=mean ± std over 10 seeds2026.03 | 92.2 | |
| APPNPHyperparameter Tuning=per-model, Measurement=mean ± std over 10 seeds2026.03 | 92.2 | |
| GCNHyperparameter Tuning=per-model, Measurement=mean ± std over 10 seeds2026.03 | 89.6 | |
| MLPHyperparameter Tuning=per-model, Measurement=mean ± std over 10 seeds2026.03 | 88.5 |