Cornell
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Node Classification | Cornell | Accuracy94 | 426 | |
| Node Classification | Cornell (test) | Mean Accuracy91.8 | 188 | |
| Node Classification | Cornell (60%/20%/20% random) | Accuracy95.9 | 78 | |
| Node Classification | Cornell (48/32/20) | Mean Accuracy87.84 | 50 | |
| Node Classification | Cornell h=0.3 (test) | Mean Accuracy84.86 | 42 | |
| Node Classification | Cornell H=0.30 | Accuracy75.67 | 39 | |
| node classification | cornell | Micro F167.08 | 32 | |
| Node Classification | Cornell (10 different splits) | Accuracy92.45 | 27 | |
| Grasp Detection | Cornell Dataset (image-wise) | Accuracy97.7 | 25 | |
| Grasp Detection | Cornell image-wise | Accuracy98.9 | 24 | |
| Node Classification | Cornell (fixed) | Accuracy85.95 | 21 | |
| Node Classification | Cornell full-supervised | Accuracy91.96 | 21 | |
| Dialogue Management | Cornell (test) | Mean Return3.62 | 18 | |
| Node clustering | Cornell (test) | Conductance (C)0.47 | 15 | |
| Node Classification | Cornell original (test) | Accuracy82.88 | 14 | |
| Node Classification | Cornell standard (test) | Micro-F176 | 13 | |
| Node Classification | Cornell WebKB (train-val-test) | Accuracy86.5 | 12 | |
| Link Prediction | Cornell (test) | Accuracy76.77 | 11 | |
| Node Classification | Cornell semi-supervised (test) | Mean Accuracy48.37 | 10 | |
| Node Classification | Cornell dense | Mean Accuracy91.8 | 10 | |
| Node Classification | Cornell | Mean Accuracy86.75 | 9 | |
| link prediction | Cornell | AUC73.59 | 7 | |
| Community Detection | Cornell | Precision38 | 5 | |
| Inductive node classification | Cornell unobserved (test) | Mean Accuracy43.97 | 4 | |
| Inductive node classification | Cornell Observed (test) | Mean Accuracy47.97 | 4 |
Showing 25 of 30 rows