Graph Classification on MUTAG (TUDataset)
1AccuracyEvoG
Evaluation results
| Method | Links | |
|---|---|---|
| EvoG2023.02 | 1 | |
| ET2023.02 | 0.966 | |
| CIN2024.04 | 0.927 | |
| GSN2024.04 | 0.922 | |
| GRANOLAbackbone=GIN2024.04 | 0.922 | |
| SUNbackbone=GIN, variant=EGO+2024.04 | 0.921 | |
| GRANOLAvariant=MS, backbone=GIN2024.04 | 0.921 | |
| GINnormalization=GraphNorm2024.04 | 0.916 | |
| GNN-AK+2024.04 | 0.913 | |
| DSS-GNNbackbone=GIN, variant=EGO+2024.04 | 0.911 | |
| DropEdge2024.04 | 0.91 | |
| DS-GNNbackbone=GIN, variant=EGO+2024.04 | 0.91 | |
| GINnormalization=BatchNorm, positional_encoding=RNF-PE2024.04 | 0.908 | |
| GINnormalization=InstanceNorm2024.04 | 0.905 | |
| GINnormalization=LayerNorm-graph2024.04 | 0.904 | |
| GINnormalization=LayerNorm-node2024.04 | 0.901 | |
| GINnormalization=MeanSubtractionNorm2024.04 | 0.901 | |
| GRANOLAvariant=NO-RNF, backbone=GIN2024.04 | 0.897 | |
| GraphConv + ID-GNN2024.04 | 0.894 | |
| GINnormalization=BatchNorm2024.04 | 0.894 | |
| GINnormalization=SuperNorm2024.04 | 0.893 | |
| GINnormalization=RNF-NORM2024.04 | 0.889 | |
| Spec-GN2023.02 | 0.885 | |
| GINnormalization=NodeNorm2024.04 | 0.883 | |
| GINnormalization=GraphSizeNorm2024.04 | 0.882 | |
| NDP2023.02 | 0.879 | |
| GINnormalization=Identity2024.04 | 0.879 | |
| GINnormalization=PairNorm2024.04 | 0.878 | |
| GINnormalization=DiffGroupNorm2024.04 | 0.878 | |
| HGP-SL2023.02 | 0.822 | |
| DSGCN2023.02 | 0.784 |