Graph Classification on REDDIT-12K (10-fold cross validation)
49.03AccuracyGGSN+EK
Evaluation results
| Method | Links | |
|---|---|---|
| GGSN+EKDepth N=4, Aggregation=low pass, Classifier=Euclidean SVM with RBF-kernel, Protocol=10-fold cross validation2023.01 | 49.03 | |
| WKPI-kCProtocol=10-fold cross validation2023.01 | 48.4 | |
| GS-SVMProtocol=10-fold cross validation2023.01 | 45.23 | |
| S2S-N2N-PPProtocol=10-fold cross validation2023.01 | 42.47 | |
| P-PoincProtocol=10-fold cross validation2023.01 | 42.16 | |
| PSCNProtocol=10-fold cross validation2023.01 | 41.32 | |
| WLProtocol=10-fold cross validation2023.01 | 34.57 | |
| GraphletProtocol=10-fold cross validation2023.01 | 25.98 | |
| DGKProtocol=10-fold cross validation2023.01 | 22.2 |