Graph Classification on DD TUDataset
95.9AccuracyET
Evaluation results
| Method | Links | |
|---|---|---|
| ET2023.02 | 95.9 | |
| StructPoolevaluation_protocol=10-fold cross-validation2021.07 | 84.19 | |
| WKPIMethod Variant=kmeans2023.02 | 82 | |
| HGP-SL2023.02 | 81 | |
| WKPIMethod Variant=kcenters2023.02 | 80.3 | |
| RINCE2022.01 | 78.7 | |
| GraphCL2022.01 | 78.6 | |
| InfoNCE*data augmentation=same as RINCE2022.01 | 78.6 | |
| GK2016.05 | 78.45 | |
| WLtime (seconds)=6092016.05 | 77.95 | |
| JOAOv22022.01 | 77.4 | |
| JOAO2022.01 | 77.3 | |
| PSCNk=10, node_attribute=normalized degree, time (seconds)=1542016.05 | 77.12 | |
| ASAP2023.02 | 76.9 | |
| PSCNk=10, node_attribute=labels, time (seconds)=1542016.05 | 76.27 | |
| PSCNk=5, time (seconds)=1212016.05 | 74.58 | |
| ECCevaluation_protocol=10-fold cross-validation2021.07 | 73.68 | |
| InfoGraph2022.01 | 72.9 | |
| NDP2023.02 | 72.8 | |
| PSLRk=10, classifier=Logistic Regression2016.05 | 68.39 |