Graph Classification on NCI1 (test)
87.5AccuracyWKPI-KM
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| WKPI-KMvariant=KM2019.04 | 87.5 | — | — | — | |
| WL-OA2019.04 | 86.1 | — | — | — | |
| WL subtree2018.10 | 86 | — | — | — | |
| PXGL-GNNlearning_mode=supervised2025.12 | 85.78 | — | — | — | |
| P-WL-UC2019.04 | 85.6 | — | — | — | |
| WL2019.04 | 85.4 | — | — | — | |
| SYMGRAPH-RFvariant=Random Forest2026.02 | 84.7 | — | — | 3.8 | |
| RetGK2019.04 | 84.5 | — | — | — | |
| WKPI-kCvariant=kC2019.04 | 84.5 | — | — | — | |
| RetGKgamma=12019.05 | 84.5 | — | — | — | |
| GNTK2019.05 | 84.2 | — | — | — | |
| DiffPool-TIPTIP=true2024.02 | 83.75 | — | — | — | |
| GCN2019.05 | 83.65 | — | — | — | |
| GSN2024.02 | 83.5 | — | — | — | |
| RetGKgamma=112019.05 | 83.5 | — | — | — | |
| ICLlearning_mode=supervised2025.12 | 83.45 | — | — | — | |
| SignGT2023.10 | 83.42 | — | — | — | |
| SANlearning_mode=supervised2025.12 | 83.07 | — | — | — | |
| GFN2019.05 | 82.77 | — | — | — | |
| SUM-MLP (GIN-0)Aggregation=SUM, Architecture=MLP2018.10 | 82.7 | — | — | — | |
| SUM-MLP (GIN-ε)Aggregation=SUM, Architecture=MLP2018.10 | 82.7 | — | — | — | |
| GIN2019.04 | 82.7 | — | — | — | |
| GIN2019.05 | 82.7 | — | — | — | |
| GraphTrans (large)GNN Type=GIN, GNN layer count=42022.01 | 82.6 | — | — | — | |
| SubGNNlearning_mode=supervised2025.12 | 82.58 | — | — | — | |
| S2GAElearning_mode=supervised2025.12 | 82.37 | — | — | — | |
| WL2019.05 | 82.19 | — | — | — | |
| SUM-1-LAYERAggregation=SUM, Architecture=1-layer2018.10 | 82 | — | — | — | |
| SpecMatch-CLtraining_regime=unsupervised, evaluation_protocol=10-fold cross-validation with linear SVM2025.11 | 81.86 | — | — | — | |
| Alon and YahavGNN Type=GIN, GNN layer count=82022.01 | 81.5 | — | — | — | |
| MSSGCLtraining_regime=unsupervised, evaluation_protocol=10-fold cross-validation with linear SVM2025.11 | 81.45 | — | — | — | |
| Graphormer2023.10 | 81.44 | — | — | — | |
| GFN-light2019.05 | 81.43 | — | — | — | |
| GraphTrans (small)GNN Type=GCN, GNN layer count=32022.01 | 81.3 | — | — | — | |
| SAGNNlearning_mode=supervised2025.12 | 81.29 | — | — | — | |
| GraphTrans2023.10 | 81.27 | — | — | — | |
| GIN2026.02 | 81.2 | — | — | 11.9 | |
| ChebNetII2024.06 | 81.14 | — | — | — | |
| att-Pooling-NLSFsArchitecture=Pooling2024.06 | 80.95 | — | — | — | |
| MEAN-MLPAggregation=MEAN, Architecture=MLP2018.10 | 80.9 | — | — | — | |
| GraphSAGE2024.02 | 80.85 | — | — | — | |
| Graclus2024.02 | 80.82 | — | — | — | |
| GIN-GUMPClass=Ours2024.03 | 80.78 | — | — | — | |
| SAT2023.10 | 80.69 | — | — | — | |
| TOGL2024.02 | 80.53 | — | — | — | |
| att-Graph-level NLSFsArchitecture=Graph-level2024.06 | 80.51 | — | — | — | |
| DGK2019.05 | 80.31 | — | — | — | |
| DGKtraining_regime=unsupervised, evaluation_protocol=10-fold cross-validation with linear SVM2025.11 | 80.31 | — | — | — | |
| GIN2024.02 | 80.3 | — | — | — | |
| DGK2019.04 | 80.3 | — | — | — | |
| MEAN-1-LAYER (GCN)Aggregation=MEAN, Architecture=1-layer2018.10 | 80.2 | — | — | — | |
| MinCutPool-TIPTIP=true2024.02 | 80.17 | — | — | — | |
| GT2023.10 | 80.15 | — | — | — | |
| WLtraining_regime=unsupervised, evaluation_protocol=10-fold cross-validation with linear SVM2025.11 | 80.01 | — | — | — | |
| Errica et al.GNN Type=GIN, GNN layer count=82022.01 | 80 | — | — | — | |
| GAT2023.10 | 79.88 | — | — | — | |
| FGSD2019.04 | 79.8 | — | — | — | |
| DMONPool-TIPTIP=true2024.02 | 79.68 | — | — | — | |
| GCN2023.10 | 79.68 | — | — | — | |
| GRAPHSAGE2026.02 | 79.6 | — | — | 12.9 | |
| ARMA2024.06 | 79.51 | — | — | — | |
| TopK2024.02 | 79.43 | — | — | — | |
| DIGLClass=Rewiring (GIN)2024.03 | 79.37 | — | — | — | |
| CuCotraining_regime=unsupervised, evaluation_protocol=10-fold cross-validation with linear SVM2025.11 | 79.24 | — | — | — | |
| SimGRACEtraining_regime=unsupervised, evaluation_protocol=10-fold cross-validation with linear SVM2025.11 | 79.12 | — | — | — | |
| GraphSAGE2023.10 | 78.98 | — | — | — | |
| Kiani et al.Class=-2024.03 | 78.71 | — | — | — | |
| PATCHYSAN2018.10 | 78.6 | — | — | — | |
| HGP-SLCategory=Proposed2019.11 | 78.45 | — | — | — | |
| JOAO V2training_regime=unsupervised, evaluation_protocol=10-fold cross-validation with linear SVM2025.11 | 78.36 | — | — | — | |
| CapsGNN2019.05 | 78.35 | — | — | — | |
| F-GINSupervision=Fully-supervised, Downstream Classifier=Linear2021.06 | 78.27 | — | — | — | |
| JOAOtraining_regime=unsupervised, evaluation_protocol=10-fold cross-validation with linear SVM2025.11 | 78.07 | — | — | — | |
| DMONPoolTIP=false2024.02 | 78.03 | — | — | — | |
| GAT2026.02 | 78 | — | — | 16.4 | |
| GRAPHSAGElearning_mode=supervised2025.12 | 77.93 | — | — | — | |
| MinCutPoolTIP=false2024.02 | 77.92 | — | — | — | |
| SAGPoolCategory=Pooling2019.11 | 77.88 | — | — | — | |
| GraphCLtraining_regime=unsupervised, evaluation_protocol=10-fold cross-validation with linear SVM2025.11 | 77.87 | — | — | — | |
| GCN2024.02 | 77.81 | — | — | — | |
| MAX-MLPAggregation=MAX, Architecture=MLP2018.10 | 77.8 | — | — | — | |
| GNN_Mbs=32, Best γS=1E2, Time=1:02:49s2026.01 | 77.7778 | — | — | — | |
| DiffPoolCategory=Pooling2019.11 | 77.73 | — | — | — | |
| HGP-SLHOPCategory=Proposed2019.11 | 77.72 | — | — | — | |
| MAX-1-LAYER (GraphSAGE)Aggregation=MAX, Architecture=1-layer2018.10 | 77.7 | — | — | — | |
| DiffPoolTIP=false2024.02 | 77.64 | — | — | — | |
| LOGIX-GIN2026.02 | 77.6 | — | — | 158.4 | |
| GNN_Qbs=32, Best γS=1E-1, Time=1:01:27s2026.01 | 77.572 | — | — | — | |
| HGP-SLDENCategory=Proposed2019.11 | 77.42 | — | — | — | |
| EigenPoolCategory=Pooling2019.11 | 77.24 | — | — | — | |
| CayleyNet2024.06 | 77.21 | — | — | — | |
| DiffPool2024.06 | 77.18 | — | — | — | |
| EigenGCN-3H (number of pooling operators)=32019.04 | 77 | — | — | — | |
| ChebNet2024.06 | 76.98 | — | — | — | |
| GNN_Gbs=32, Best γS=1E1, Time=52:49s.872026.01 | 76.8724 | — | — | — | |
| SYMGRAPH-DTvariant=Decision Tree2026.02 | 76.8 | — | — | 3.8 | |
| EigenGCN-2H (number of pooling operators)=22019.04 | 76.7 | — | — | — | |
| WLCategory=Kernels2019.11 | 76.65 | — | — | — | |
| PIGNN2026.02 | 76.6 | — | — | 86.8 | |
| EdgePoolCategory=Pooling2019.11 | 76.56 | — | — | — |