| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Node Classification | Cora | Accuracy99.99 | 885 | |
| Node classification | Cora (test) | Mean Accuracy98.2 | 687 | |
| Node Classification | Cora-ML | Accuracy86.3 | 228 | |
| Node Classification | Cora Synthetic (test) | Accuracy99.62 | 134 | |
| Node Classification | Cora standard (test) | Accuracy86 | 130 | |
| Link Prediction | Cora | AUC0.986 | 116 | |
| Node Clustering | Cora | Accuracy82.26 | 115 | |
| Node Classification | Cora (semi-supervised) | Accuracy88.75 | 103 | |
| Node Classification | Cora Full | Accuracy88.49 | 88 | |
| Node Classification | Cora ML original (test) | Accuracy86.3 | 84 | |
| Node Classification | Cora ML (test) | Accuracy (General)86.3 | 83 | |
| Node Classification | Cora (60/20/20 random split) | Accuracy89.61 | 74 | |
| Transductive Node Classification | Cora (transductive) | Accuracy89.77 | 72 | |
| Node Classification | Cora Hnode = 0.57 | Accuracy87.98 | 70 | |
| Link Prediction | Cora (test) | AUC0.95 | 69 | |
| Node Classification | Cora | AUC96.7 | 65 | |
| Node Classification | Cora 3% label rate | Accuracy82.2 | 56 | |
| Node Classification | Cora 1% label rate | Accuracy77.4 | 56 | |
| Node Classification | Cora (0.5% label rate) | Accuracy0.739 | 56 | |
| Node Classification | Cora Covariate shift (degree split) | OOD Accuracy87.39 | 50 | |
| Node Classification | Cora (48/32/20) | Mean Accuracy88.7 | 50 | |
| Node Classification | Cora (random) | Accuracy87.2 | 49 | |
| Node Classification | Cora | F1 Score93.51 | 48 | |
| Node Classification | Cora (standard) | Accuracy88.57 | 46 | |
| Node Classification | Cora h=0.81 (test) | Accuracy88.37 | 42 |