Graph Classification on NCI109 TUDataset
90.5AccuracyET
Evaluation results
| Method | Links | |
|---|---|---|
| ET2023.02 | 90.5 | |
| WKPIMethod Variant=kcenters2023.02 | 87.4 | |
| WKPIMethod Variant=kmeans2023.02 | 85.9 | |
| CIN2024.04 | 84 | |
| GRANOLAbackbone=GIN2024.04 | 83.7 | |
| Spec-GN2023.02 | 83.6 | |
| Norm-GN2023.02 | 83.5 | |
| GRANOLAvariant=MS, backbone=GIN2024.04 | 83.5 | |
| SUNbackbone=GIN, variant=EGO+2024.04 | 83.1 | |
| GRANOLAvariant=NO-RNF, backbone=GIN2024.04 | 83 | |
| GraphConv + ID-GNN2024.04 | 82.9 | |
| DSS-GNNbackbone=GIN, variant=EGO+2024.04 | 82.8 | |
| GINnormalization=SuperNorm2024.04 | 82.8 | |
| GINnormalization=GraphNorm2024.04 | 82.4 | |
| DropEdge2024.04 | 82.2 | |
| GINnormalization=BatchNorm2024.04 | 82.2 | |
| GINnormalization=LayerNorm-node2024.04 | 82 | |
| GINnormalization=RNF-NORM2024.04 | 81.9 | |
| GINnormalization=InstanceNorm2024.04 | 81.8 | |
| GINnormalization=LayerNorm-graph2024.04 | 81.5 | |
| GINnormalization=BatchNorm, positional_encoding=RNF-PE2024.04 | 81.3 | |
| HGP-SL2023.02 | 80.7 | |
| GINnormalization=Identity2024.04 | 80.6 | |
| DS-GNNbackbone=GIN, variant=EGO+2024.04 | 80.3 | |
| GINnormalization=GraphSizeNorm2024.04 | 80.1 | |
| GINnormalization=NodeNorm2024.04 | 79.4 | |
| GINnormalization=MeanSubtractionNorm2024.04 | 79 | |
| GINnormalization=DiffGroupNorm2024.04 | 77.1 | |
| GINnormalization=PairNorm2024.04 | 75.3 | |
| ASAP2023.02 | 70.1 |