Graph Classification on COLLAB (10-fold cross val)
85.5AccuracyGSN-e
Evaluation results
| Method | Links | |
|---|---|---|
| GSN-eProtocol=10-fold cross validation2023.01 | 85.5 | |
| S2S-N2N-PPProtocol=10-fold cross validation2023.01 | 81.75 | |
| Ours 2b=400, d=2, suffix=(i)2019.05 | 81.38 | |
| Ours 3b=256, d=3, suffix=(ii)2019.05 | 80.68 | |
| GGSN+EKDepth N=4, Aggregation=low pass, Classifier=Euclidean SVM with RBF-kernel, Protocol=10-fold cross validation2023.01 | 80.34 | |
| GINProtocol=10-fold cross validation2023.01 | 80.2 | |
| GINevaluation_protocol=10-fold cross-validation2019.05 | 80.2 | |
| GIN2019.05 | 80.2 | |
| Ours 1b=400, d=2, suffix=(ii)2019.05 | 80.16 | |
| Ring-GNNevaluation_protocol=10-fold cross-validation2019.05 | 80.1 | |
| FGSD2019.05 | 80.02 | |
| GS-SVMProtocol=10-fold cross validation2023.01 | 79.94 | |
| Invariant Graph Networks2019.05 | 78.36 | |
| 2-IGNevaluation_protocol=10-fold cross-validation2019.05 | 77.9 | |
| WLProtocol=10-fold cross validation2023.01 | 77.82 | |
| DiffPool2019.05 | 75.5 | |
| AWE-DD2019.05 | 73.93 | |
| DGCNNProtocol=10-fold cross validation2023.01 | 73.76 | |
| DGCNN2019.05 | 73.76 | |
| GraphletProtocol=10-fold cross validation2023.01 | 73.42 | |
| DGK2019.05 | 73.09 | |
| DGKProtocol=10-fold cross validation2023.01 | 73 | |
| PSCNProtocol=10-fold cross validation2023.01 | 72.6 | |
| PSCNk=102019.05 | 72.6 | |
| AWE-FB2019.05 | 70.99 | |
| DCNN2019.05 | 52.11 |