Graph Classification on REDDIT-B (10-fold cross val)
92.4AccuracyGIN
Evaluation results
| Method | Links | |
|---|---|---|
| GINProtocol=10-fold cross validation2023.01 | 92.4 | |
| GGSN+EKDepth N=4, Aggregation=low pass, Classifier=Euclidean SVM with RBF-kernel, Protocol=10-fold cross validation2023.01 | 91.6 | |
| GS-SVMProtocol=10-fold cross validation2023.01 | 89.65 | |
| S2S-N2N-PPProtocol=10-fold cross validation2023.01 | 86.5 | |
| PSCNProtocol=10-fold cross validation2023.01 | 86.3 | |
| P-PoincProtocol=10-fold cross validation2023.01 | 79.78 | |
| WLProtocol=10-fold cross validation2023.01 | 78.52 | |
| DGKProtocol=10-fold cross validation2023.01 | 78 | |
| GraphletProtocol=10-fold cross validation2023.01 | 77.26 |