Graph Classification on REDDIT MULTI
50.1AccuracyGCAPS-CNN
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| GCAPS-CNNcategory=Deep Learning Method2018.05 | 50.1 | — | |
| PSCNcategory=Deep Learning Method2018.05 | 49.1 | — | |
| DGCNNcategory=Deep Learning Method2018.05 | 48.7 | — | |
| DIFFPOOLCategory=GNN, Base GNN=GraphSage, Validation=10-fold cross validation2018.06 | 47.08 | 6.27 | |
| DIFFPOOL-NOLPCategory=GNN, Base GNN=GraphSage, Validation=10-fold cross validation2018.06 | 46.65 | 5.95 | |
| DIFFPOOL-DETCategory=GNN, Base GNN=GraphSage, Validation=10-fold cross validation2018.06 | 46.18 | 5.42 | |
| WL-OACategory=Kernel, Validation=10-fold cross validation2018.06 | 44.38 | — | |
| SET2SETCategory=GNN, Base GNN=GraphSage, Validation=10-fold cross validation2018.06 | 43.49 | 3.32 | |
| GRAPHSAGECategory=GNN, Validation=10-fold cross validation2018.06 | 42.24 | — | |
| SORTPOOLCategory=GNN, Validation=10-fold cross validation2018.06 | 41.82 | 3.39 | |
| ECCCategory=GNN, Validation=10-fold cross validation2018.06 | 41.73 | 0.11 | |
| PATCHYSANCategory=GNN, Validation=10-fold cross validation2018.06 | 41.32 | 4.17 | |
| DGKcategory=Graph Kernels2018.05 | 41.27 | — | |
| GKcategory=Graph Kernels2018.05 | 41.01 | — | |
| 1-WLCategory=Kernel, Validation=10-fold cross validation2018.06 | 39.03 | — | |
| SHORTEST-PATHCategory=Kernel, Validation=10-fold cross validation2018.06 | 36.93 | — | |
| GRAPHLETCategory=Kernel, Validation=10-fold cross validation2018.06 | 21.73 | — |