Cora
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Node Classification | Cora | Accuracy99.99 | 1,225 | |
| Node classification | Cora (test) | Mean Accuracy98.2 | 951 | |
| Node Classification | Cora | Accuracy93.35 | 609 | |
| Node Classification | Cora-ML | Accuracy97.63 | 326 | |
| Node Classification | Cora (test) | Accuracy88.09 | 254 | |
| Node Clustering | Cora | NMI70.5 | 179 | |
| Node classification | Cora | Accuracy88.77 | 138 | |
| Node Classification | Cora Synthetic (test) | Accuracy99.62 | 134 | |
| Node Classification | Cora standard (test) | Accuracy86 | 130 | |
| Node classification | Cora | Accuracy89.46 | 125 | |
| Correlation to Accuracy Difference | Cora | Correlation Coefficient0.32 | 117 | |
| Link Prediction | Cora (test) | AUC0.9915 | 117 | |
| 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 | Miss-classification Rate (Δ=1)13.2 | 96 | |
| Link Prediction | Cora | AUC (Cora)100 | 94 | |
| Node Classification | Cora inductive | Accuracy89.58 | 94 | |
| Node Classification | Cora ML (test) | Accuracy (General)86.3 | 91 | |
| Node Classification | Cora (60/20/20 random split) | Accuracy89.89 | 91 | |
| Graph Classification | Cora | Accuracy90.26 | 88 | |
| Node Classification | Cora Full | Accuracy88.49 | 88 | |
| Federated Learning | Cora | Time Consumption (s)1.99 | 84 | |
| Node Classification | Cora ML original (test) | Accuracy86.3 | 84 | |
| Node Classification | Cora (random) | Accuracy87.2 | 79 |
Showing 25 of 451 rows
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