Cora
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Node Classification | Cora | Accuracy99.99 | 1,215 | |
| Node classification | Cora (test) | Mean Accuracy98.2 | 861 | |
| Node Classification | Cora-ML | Accuracy87.06 | 232 | |
| Node Classification | Cora Synthetic (test) | Accuracy99.62 | 134 | |
| Node Clustering | Cora | Accuracy82.26 | 133 | |
| Node Classification | Cora standard (test) | Accuracy86 | 130 | |
| Link Prediction | Cora | AUC0.986 | 116 | |
| Node Classification | Cora transductive (test) | Accuracy88.6 | 108 | |
| Node Classification | Cora (semi-supervised) | Accuracy88.75 | 103 | |
| Node Classification | Cora inductive | Accuracy89.58 | 94 | |
| Node Classification | Cora (60/20/20 random split) | Accuracy89.89 | 91 | |
| 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 | Accuracy88.77 | 78 | |
| Graph Classification | Cora | Accuracy90.26 | 75 | |
| 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 (random) | Accuracy87.2 | 67 | |
| Node Classification | Cora 3% label rate | Accuracy82.2 | 66 | |
| Node Classification | Cora | AUC96.7 | 65 | |
| 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 |
Showing 25 of 321 rows
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