Graph Classification on PROTEINS (test)
84.91AccuracyHGP-SL
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| HGP-SLCategory=Proposed2019.11 | 84.91 | — | — | — | |
| att-Pooling-NLSFsArchitecture=Pooling2024.06 | 84.89 | — | — | — | |
| HGP-SLDENCategory=Proposed2019.11 | 83.12 | — | — | — | |
| HGP-SLHOPCategory=Proposed2019.11 | 83.03 | — | — | — | |
| att-Graph-level NLSFsArchitecture=Graph-level2024.06 | 82.69 | — | — | — | |
| EdgePoolCategory=Pooling2019.11 | 82.38 | — | — | — | |
| SAGPoolCategory=Pooling2019.11 | 81.72 | — | — | — | |
| HGP-SLNSLCategory=Proposed2019.11 | 81.51 | — | — | — | |
| GraphTCL2025.12 | 80.87 | — | — | — | |
| gPoolCategory=Pooling2019.11 | 80.71 | — | — | — | |
| DGCNNCategory=Pooling2019.11 | 79.99 | — | — | — | |
| DiffPoolCategory=Pooling2019.11 | 79.9 | — | — | — | |
| DiffPool-TIPTIP=true2024.02 | 79.86 | — | — | — | |
| MinCutPool-TIPTIP=true2024.02 | 79.73 | — | — | — | |
| DMONPool-TIPTIP=true2024.02 | 79.73 | — | — | — | |
| DiffPool2024.06 | 79.47 | — | — | — | |
| Set2SetCategory=Pooling2019.11 | 79.33 | — | — | — | |
| SYMGRAPH-RFvariant=Random Forest2026.02 | 78.9 | — | — | 1.7 | |
| EigenPoolCategory=Pooling2019.11 | 78.84 | — | — | — | |
| DiffPoolTIP=false2024.02 | 78.81 | — | — | — | |
| DMONPoolTIP=false2024.02 | 78.63 | — | — | — | |
| ChebNetII2024.06 | 78.31 | — | — | — | |
| MinCutPoolTIP=false2024.02 | 78.25 | — | — | — | |
| PXGL-GNNlearning_mode=supervised2025.12 | 78.23 | — | — | — | |
| TOGL2024.02 | 78.17 | — | — | — | |
| CCMambaTopological Abstraction=Rank-cell2026.01 | 78.14 | — | — | — | |
| Fea2Fea-s2method_type=simple, num_features=22021.06 | 77.8 | — | — | — | |
| GNN_Qbs=32, Best γS=1E1, Time=10:08s.792026.01 | 77.6213 | — | — | — | |
| GIN-GUMPClass=Ours2024.03 | 77.53 | — | — | — | |
| GNNbs=32, loss=S = I, Time=1:27s.332026.01 | 77.465 | — | — | — | |
| GFN-light2019.05 | 77.44 | — | — | — | |
| CCMambaTopological Abstraction=Graph2026.01 | 77.42 | — | — | — | |
| GIN+GraphNormBackbone=GIN, Normalization=GraphNorm2020.09 | 77.4 | — | — | — | |
| agg + I2026.05 | 77.35 | — | — | — | |
| LGANresidual=false2025.12 | 77.3 | — | — | — | |
| TopoGCL2025.12 | 77.3 | — | — | — | |
| APPNP2024.06 | 77.26 | — | — | — | |
| PPGNcategory=k-WL-based2025.12 | 77.2 | — | — | — | |
| PPGNSource=Bouritsas et al. [5]2026.05 | 77.2 | — | — | — | |
| GIN2024.02 | 77.18 | — | — | — | |
| CW Networkscategory=k-WL-based2025.12 | 77 | — | — | — | |
| GIN2025.12 | 76.92 | — | — | — | |
| GNN_Ibs=32, Best γS=1E5, Time=1:37s.322026.01 | 76.8388 | — | — | — | |
| GNN_Gbs=32, Best γS=1E4, Time=9:38s.082026.01 | 76.8388 | — | — | — | |
| GNN_Mbs=32, Best γS=1E5, Time=10:46.302026.01 | 76.8388 | — | — | — | |
| Fea2Fea-s3method_type=simple, num_features=32021.06 | 76.8 | — | — | — | |
| LGAN-resresidual=true2025.12 | 76.8 | — | — | — | |
| GINTopological Abstraction=Graph2026.01 | 76.7 | — | — | — | |
| SpecMatch-CLtraining_regime=unsupervised, evaluation_protocol=10-fold cross-validation with linear SVM2025.11 | 76.69 | — | — | — | |
| GraphSAGE2024.02 | 76.67 | — | — | — | |
| GCN2024.02 | 76.65 | — | — | — | |
| ARMA2024.06 | 76.62 | — | — | — | |
| EigenGCN-3H (number of pooling operators)=32019.04 | 76.6 | — | — | — | |
| IGNSource=Bouritsas et al. [5]2026.05 | 76.6 | — | — | — | |
| GSN-eSource=Bouritsas et al. [5]2026.05 | 76.6 | — | — | — | |
| GIN+INSTANCENORMBackbone=GIN, Normalization=InstanceNorm2020.09 | 76.5 | — | — | — | |
| S2GAElearning_mode=supervised2025.12 | 76.47 | — | — | — | |
| GFN2019.05 | 76.46 | — | — | — | |
| Fea2Fea-b2method_type=bilinear, num_features=22021.06 | 76.4 | — | — | — | |
| SPcategory=Kernels2025.12 | 76.4 | — | — | — | |
| SubGNNlearning_mode=supervised2025.12 | 76.38 | — | — | — | |
| CapsGNN2019.05 | 76.28 | — | — | — | |
| GIN+LAYERNORMBackbone=GIN, Normalization=LayerNorm2020.09 | 76.2 | — | — | — | |
| GIN+BATCHNORMBackbone=GIN, Normalization=BatchNorm2020.09 | 76.2 | — | — | — | |
| SUM-1-LAYERAggregation=SUM, Architecture=1-layer2018.10 | 76.2 | — | — | — | |
| MEAN-MLPAggregation=MEAN, Architecture=MLP2018.10 | 76.2 | — | — | — | |
| GIN2019.05 | 76.2 | — | — | — | |
| WL2024.06 | 76.2 | — | — | — | |
| GINcategory=GNNs2025.12 | 76.2 | — | — | — | |
| GINSource=Bouritsas et al. [5]2026.05 | 76.2 | — | — | — | |
| WLCategory=Kernels2019.11 | 76.16 | — | — | — | |
| DiffPoollearning_mode=supervised2025.12 | 76.07 | — | — | — | |
| TopK2024.02 | 76.03 | — | — | — | |
| MEAN-1-LAYER (GCN)Aggregation=MEAN, Architecture=1-layer2018.10 | 76 | — | — | — | |
| MAX-MLPAggregation=MAX, Architecture=MLP2018.10 | 76 | — | — | — | |
| CuCotraining_regime=unsupervised, evaluation_protocol=10-fold cross-validation with linear SVM2025.11 | 75.91 | — | — | — | |
| PATCHYSAN2018.10 | 75.9 | — | — | — | |
| SUM-MLP (GIN-0)Aggregation=SUM, Architecture=MLP2018.10 | 75.9 | — | — | — | |
| MAX-1-LAYER (GraphSAGE)Aggregation=MAX, Architecture=1-layer2018.10 | 75.9 | — | — | — | |
| Diff-poolpooling=hierarchical2019.04 | 75.9 | — | — | — | |
| PATCHY-SANcategory=GNNs2025.12 | 75.9 | — | — | — | |
| SUM-MLP (GIN-ε)Aggregation=SUM, Architecture=MLP2018.10 | 75.8 | — | — | — | |
| RetGKgamma=12019.05 | 75.8 | — | — | — | |
| Baseline (MLP)Source=Errica et al. [16]2026.05 | 75.8 | — | — | — | |
| SPCategory=Kernels2019.11 | 75.71 | — | — | — | |
| Graclus2024.02 | 75.69 | — | — | — | |
| DGK2019.05 | 75.68 | — | — | — | |
| GCN2019.05 | 75.65 | — | — | — | |
| GLN2019.05 | 75.65 | — | — | — | |
| SANlearning_mode=supervised2025.12 | 75.62 | — | — | — | |
| SAGNNlearning_mode=supervised2025.12 | 75.61 | — | — | — | |
| GNTK2019.05 | 75.6 | — | — | — | |
| GNTKSource=Bouritsas et al. [5]2026.05 | 75.6 | — | — | — | |
| DGCNN2019.05 | 75.54 | — | — | — | |
| DGCNNlearning_mode=supervised2025.12 | 75.53 | — | — | — | |
| DGCNNBackbone=DGCNN2020.09 | 75.5 | — | — | — | |
| DGCNN2018.10 | 75.5 | — | — | — | |
| DGCNNcategory=GNNs2025.12 | 75.5 | — | — | — | |
| 1-2-3 GNNcategory=k-WL-based2025.12 | 75.5 | — | — | — | |
| DGCNNSource=Bouritsas et al. [5]2026.05 | 75.5 | — | — | — |