Graph Classification on PROTEINS TUDataset
90.3AccuracyET
Evaluation Results
| Method | Links | |
|---|---|---|
| ET2023.02 | 90.3 | |
| HGP-SL2023.02 | 84.9 | |
| U2GNN2023.02 | 80 | |
| WKPIMethod Variant=kmeans2023.02 | 78.5 | |
| GRANOLAbackbone=GIN2024.04 | 77.5 | |
| GINnormalization=GraphNorm2024.04 | 77.4 | |
| DSGCN2023.02 | 77.3 | |
| GRANOLAvariant=MS, backbone=GIN2024.04 | 77.3 | |
| GNN-AK+2024.04 | 77.1 | |
| CIN2024.04 | 77 | |
| GINnormalization=GraphSizeNorm2024.04 | 77 | |
| GINnormalization=DiffGroupNorm2024.04 | 76.9 | |
| DS-GNNbackbone=GIN, variant=EGO+2024.04 | 76.7 | |
| GINnormalization=PairNorm2024.04 | 76.7 | |
| GSN2024.04 | 76.6 | |
| GRANOLAvariant=NO-RNF, backbone=GIN2024.04 | 76.6 | |
| GINnormalization=InstanceNorm2024.04 | 76.5 | |
| SIN2024.04 | 76.4 | |
| GINnormalization=RNF-NORM2024.04 | 76.4 | |
| GINnormalization=MeanSubtractionNorm2024.04 | 76.4 | |
| GINnormalization=BatchNorm2024.04 | 76.2 | |
| GINnormalization=LayerNorm-node2024.04 | 76.2 | |
| SUNbackbone=GIN, variant=EGO+2024.04 | 76.1 | |
| GINnormalization=LayerNorm-graph2024.04 | 76.1 | |
| GINnormalization=SuperNorm2024.04 | 76.1 | |
| DSS-GNNbackbone=GIN, variant=EGO+2024.04 | 75.9 | |
| GWL-WL2023.02 | 75.8 | |
| GINnormalization=Identity2024.04 | 75.8 | |
| WKPIMethod Variant=kcenters2023.02 | 75.2 | |
| RINCE2022.01 | 74.7 | |
| JOAO2022.01 | 74.6 | |
| GINnormalization=NodeNorm2024.04 | 74.5 | |
| InfoGraph2022.01 | 74.4 | |
| GraphCL2022.01 | 74.4 | |
| InfoNCE*data augmentation=same as RINCE2022.01 | 74.4 | |
| ASAP2023.02 | 74.2 | |
| JOAOv22022.01 | 74.1 | |
| GINnormalization=BatchNorm, positional_encoding=RNF-PE2024.04 | 74.1 | |
| DropEdge2024.04 | 73.5 | |
| NDP2023.02 | 73.4 | |
| graph2vec2022.01 | 73.3 | |
| GraphConv + ID-GNN2024.04 | 71.9 | |
| node2vec2022.01 | 57.5 | |
| sub2vec2022.01 | 53 |