Node Classification on Elo-Photo (test)
84.7AccuracyUltraTAG-S
Evaluation results
| Method | Links | |
|---|---|---|
| UltraTAG-SSparsity=0%2025.04 | 84.7 | |
| ENGINESparsity=0%2025.04 | 83.06 | |
| TAPESparsity=0%2025.04 | 82.26 | |
| SimTeGSparsity=0%2025.04 | 79.82 | |
| UltraTAG-SSparsity=50%2025.04 | 79.21 | |
| GLEMSparsity=0%2025.04 | 77.74 | |
| TAPESparsity=50%2025.04 | 76.21 | |
| ENGINESparsity=50%2025.04 | 73.4 | |
| GraphSAGESparsity=0%2025.04 | 70.48 | |
| RoBERTaSparsity=0%2025.04 | 70.25 | |
| DeBERTaSparsity=0%2025.04 | 70.18 | |
| BERTSparsity=0%2025.04 | 70.01 | |
| GCNSparsity=0%2025.04 | 69.49 | |
| UltraTAG-SSparsity=80%2025.04 | 68.79 | |
| SimTeGSparsity=50%2025.04 | 67.76 | |
| GLEMSparsity=50%2025.04 | 65.25 | |
| GATSparsity=0%2025.04 | 64.22 | |
| GCNSparsity=50%2025.04 | 62.61 | |
| GraphSAGESparsity=50%2025.04 | 62.61 | |
| GCNIISparsity=0%2025.04 | 60.6 | |
| TAPESparsity=80%2025.04 | 59.76 | |
| GATSparsity=50%2025.04 | 59.32 | |
| ENGINESparsity=80%2025.04 | 57.96 | |
| BERTSparsity=50%2025.04 | 57.41 | |
| DeBERTaSparsity=50%2025.04 | 57.39 | |
| RoBERTaSparsity=50%2025.04 | 57.25 | |
| GLEMSparsity=80%2025.04 | 56.25 | |
| SimTeGSparsity=80%2025.04 | 55.73 | |
| GCNIISparsity=50%2025.04 | 53.77 | |
| GraphSAGESparsity=80%2025.04 | 52.17 | |
| GCNSparsity=80%2025.04 | 51.27 | |
| GATSparsity=80%2025.04 | 50.35 | |
| BERTSparsity=80%2025.04 | 49.59 | |
| RoBERTaSparsity=80%2025.04 | 49.52 | |
| DeBERTaSparsity=80%2025.04 | 47.96 | |
| MLPSparsity=0%2025.04 | 47.45 | |
| MLPSparsity=50%2025.04 | 46.57 | |
| MLPSparsity=80%2025.04 | 46.21 | |
| GCNIISparsity=80%2025.04 | 45.53 |