Node Classification on Amazon Computers (random 60/20/20 split)
91.5AccuracyNoMem
Evaluation results
| Method | Links | |
|---|---|---|
| NoMemHyperparameter Tuning=per-model, Measurement=mean ± std over 10 seeds2026.03 | 91.5 | |
| LSEHyperparameter Tuning=per-model, Measurement=mean ± std over 10 seeds2026.03 | 91.3 | |
| LSRHyperparameter Tuning=per-model, Measurement=mean ± std over 10 seeds2026.03 | 91.3 | |
| Hier(8)Hyperparameter Tuning=per-model, Measurement=mean ± std over 10 seeds2026.03 | 91.3 | |
| GINHyperparameter Tuning=per-model, Measurement=mean ± std over 10 seeds2026.03 | 88.9 | |
| GATHyperparameter Tuning=per-model, Measurement=mean ± std over 10 seeds2026.03 | 87.9 | |
| GraphSAGEHyperparameter Tuning=per-model, Measurement=mean ± std over 10 seeds2026.03 | 87.4 | |
| MLPHyperparameter Tuning=per-model, Measurement=mean ± std over 10 seeds, Condition=bimodal (>10% std)2026.03 | 75.4 | |
| GCNHyperparameter Tuning=per-model, Measurement=mean ± std over 10 seeds, Condition=bimodal (>10% std)2026.03 | 73.7 | |
| APPNPHyperparameter Tuning=per-model, Measurement=mean ± std over 10 seeds, Condition=bimodal (>10% std)2026.03 | 41.9 |