DBLP
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Node Classification | DBLP | Micro-F198.83 | 126 | |
| Node Classification | DBLP (test) | Macro-F194.79 | 86 | |
| Node Classification | DBLP | Accuracy94.86 | 78 | |
| Node Classification | DBLP | F1-AP86.33 | 45 | |
| Link Prediction | DBLP | AUC ROC0.963 | 44 | |
| Clustering | DBLP | Accuracy92.98 | 40 | |
| Node Clustering | DBLP | NMI77.1 | 39 | |
| Node Classification | DBLP | Macro F184.97 | 37 | |
| Node classification | DBLP | Micro-F195.45 | 34 | |
| Node Classification | DBLP | Accuracy92.27 | 31 | |
| Synthetic Network Generation | DBLP | GFDL118.35 | 29 | |
| Node Classification | DBLP (20% train) | Macro F193.13 | 28 | |
| Node Classification | DBLP HGB (test) | Macro F195.27 | 27 | |
| Graph Classification | DBLP v1 | Accuracy87.6 | 25 | |
| Object classification | DBLP | Micro F194.13 | 24 | |
| Topic Modeling | DBLP | NPMI0.133 | 23 | |
| Link Prediction | DBLP (test) | AUC84.2 | 22 | |
| Surrogate detection under model extraction attack | DBLP | AUC1 | 20 | |
| Vertex Classification | DBLP-CA (test) | Mean Accuracy90.28 | 20 | |
| Node Classification | DBLP (80% train) | Macro F194.1 | 20 | |
| Graph Anomaly Detection | DBLP | ROC-AUC97.72 | 19 | |
| Node classification | DBLP 20% Uniform Noise (test) | Accuracy80.1 | 18 | |
| Graph Explanation | DBLP | Fidelity -99.4 | 18 | |
| Node Classification | DBLP (train val test) | Accuracy80.1 | 18 | |
| Node Clustering | DBLP (test) | NMI80.81 | 17 |
Showing 25 of 134 rows