Graph Classification on NCI1 TUDataset
95.7AccuracyU2GNN
Evaluation results
| Method | Links | |
|---|---|---|
| U2GNN2023.02 | 95.7 | |
| ET2023.02 | 90.1 | |
| WKPIMethod Variant=kmeans2023.02 | 87.5 | |
| GNN-AK+2024.04 | 85 | |
| Norm-GN2023.02 | 84.9 | |
| Spec-GN2023.02 | 84.8 | |
| WKPIMethod Variant=kcenters2023.02 | 84.5 | |
| GRANOLAvariant=MS, backbone=GIN2024.04 | 84.3 | |
| SUNbackbone=GIN, variant=EGO+2024.04 | 84.2 | |
| GRANOLAbackbone=GIN2024.04 | 84 | |
| DSS-GNNbackbone=GIN, variant=EGO+2024.04 | 83.7 | |
| CIN2024.04 | 83.6 | |
| GSN2024.04 | 83.5 | |
| GraphConv + ID-GNN2024.04 | 83.4 | |
| GRANOLAvariant=NO-RNF, backbone=GIN2024.04 | 83.1 | |
| GINnormalization=SuperNorm2024.04 | 83 | |
| SIN2024.04 | 82.7 | |
| GINnormalization=BatchNorm2024.04 | 82.7 | |
| GINnormalization=BatchNorm, positional_encoding=RNF-PE2024.04 | 82.1 | |
| DropEdge2024.04 | 82 | |
| DS-GNNbackbone=GIN, variant=EGO+2024.04 | 82 | |
| GINnormalization=LayerNorm-graph2024.04 | 82 | |
| GINnormalization=LayerNorm-node2024.04 | 81.9 | |
| GINnormalization=RNF-NORM2024.04 | 81.8 | |
| GINnormalization=GraphNorm2024.04 | 81.4 | |
| GINnormalization=Identity2024.04 | 81.3 | |
| GINnormalization=InstanceNorm2024.04 | 81.2 | |
| GINnormalization=NodeNorm2024.04 | 81.2 | |
| GINnormalization=GraphSizeNorm2024.04 | 79.8 | |
| GINnormalization=MeanSubtractionNorm2024.04 | 79.2 | |
| RINCE2022.01 | 78.6 | |
| HGP-SL2023.02 | 78.5 | |
| JOAOv22022.01 | 78.4 | |
| InfoNCE*data augmentation=same as RINCE2022.01 | 78.2 | |
| JOAO2022.01 | 78.1 | |
| GraphCL2022.01 | 77.9 | |
| GINnormalization=DiffGroupNorm2024.04 | 77.2 | |
| InfoGraph2022.01 | 76.2 | |
| GINnormalization=PairNorm2024.04 | 75.8 | |
| NDP2023.02 | 74.2 | |
| graph2vec2022.01 | 73.2 | |
| ASAP2023.02 | 71.5 | |
| node2vec2022.01 | 54.9 | |
| sub2vec2022.01 | 52.8 |