Graph Classification on IMDB MULTI
64.2Accuracyδ-3-LWL+
Evaluation Results
| Method | Links | |
|---|---|---|
| δ-3-LWL+Type=Local Kernel2019.04 | 64.2 | |
| δ-2-LWL+Type=Local Kernel2019.04 | 62.5 | |
| SGFormerMethod Category=Graph Transformers2025.08 | 56.4 | |
| ISP-GNN†Evaluation protocol=10-fold cross-validation2026.03 | 56.3 | |
| ISP-GNN_DegreeEvaluation protocol=10-fold cross-validation2026.03 | 55.9 | |
| ISP-GNN_CoreEvaluation protocol=10-fold cross-validation2026.03 | 55.7 | |
| ISP-GNN_OnionEvaluation protocol=10-fold cross-validation2026.03 | 55.6 | |
| KP-GINEvaluation protocol=10-fold cross-validation2026.03 | 55.5 | |
| ID-GNNEvaluation protocol=10-fold cross-validation2026.03 | 55.4 | |
| GraphSNNEvaluation protocol=10-fold cross-validation2026.03 | 55.3 | |
| GIN-AK+Evaluation protocol=10-fold cross-validation2026.03 | 55.2 | |
| GCNMethod Category=GNN methods2025.08 | 55.2 | |
| AC-GINEvaluation protocol=10-fold cross-validation2026.03 | 55.1 | |
| NC-GNNEvaluation protocol=10-fold cross-validation2026.03 | 55 | |
| UnionGINEvaluation protocol=10-fold cross-validation2026.03 | 55 | |
| BEC-GINEvaluation protocol=10-fold cross-validation2026.03 | 54.9 | |
| GINEvaluation protocol=10-fold cross-validation2026.03 | 54.6 | |
| GSNEvaluation protocol=10-fold cross-validation2026.03 | 54.6 | |
| DropGINEvaluation protocol=10-fold cross-validation2026.03 | 54.3 | |
| GIN2019.04 | 52.3 | |
| GIN2018.11 | 52.3 | |
| Cluster-GT2024.10 | 52.13 | |
| CORE-WL-VH2024.06 | 51.7 | |
| CORE-WL-VHMethod Category=Kernels2025.10 | 51.7 | |
| GIC2018.11 | 51.66 | |
| GEFRFE-learnable(α)Method Category=GEFRFE (GEFRFE-learnable(α))2025.08 | 51.6 | |
| SEP-G2024.10 | 51.53 | |
| 1-WLMethod category=Kernel2018.10 | 51.5 | |
| DiffPool2024.10 | 51.31 | |
| WL-VH2024.06 | 51.3 | |
| WL-VHMethod Category=Kernels2025.10 | 51.3 | |
| WL-OA2024.06 | 51.1 | |
| WL-OAMethod Category=Kernels2025.10 | 51.1 | |
| MinCutPool2024.10 | 51.04 | |
| CORE-SP2024.06 | 51 | |
| WL subtree2026.05 | 51 | |
| CORE-SPMethod Category=Kernels2025.10 | 51 | |
| WL kernelMethod Category=Kernel methods2025.08 | 50.9 | |
| Baseline2025.10 | 50.82 | |
| DiffusionMethod Category=Diffusion Baselines2025.10 | 50.8 | |
| ASAP2024.10 | 50.78 | |
| NGRAMCNN2018.11 | 50.66 | |
| GMT2024.10 | 50.66 | |
| 2-WLMethod category=Kernel2018.10 | 50.6 | |
| NH2024.06 | 50.5 | |
| NHMethod Category=Kernels2025.10 | 50.5 | |
| WL-OAMethod category=Kernel2018.10 | 50.4 | |
| GCN2024.10 | 50.39 | |
| StructPool2024.10 | 50.23 | |
| SAGPool(H)2024.10 | 50.23 | |
| δ-2-LWLType=Local Kernel2019.04 | 50.2 | |
| Set2Set2024.10 | 50.19 | |
| WLOAType=Baseline2019.04 | 50.1 | |
| 1-WLType=Baseline2019.04 | 50 | |
| LDP2018.11 | 50 | |
| LDPClassifier=SVM2018.11 | 50 | |
| Gin-0Type=Neural2019.04 | 49.9 | |
| WL2019.04 | 49.8 | |
| WL2018.11 | 49.8 | |
| GRF++2025.10 | 49.8 | |
| 3-WLMethod category=Kernel2018.10 | 49.7 | |
| Gin-εType=Neural2019.04 | 49.6 | |
| WKPI-KC2019.04 | 49.5 | |
| 1-2-3-GNNTuning status=Tuned, Method category=GNN2018.10 | 49.5 | |
| SAGPool(G)2024.10 | 49.47 | |
| δ-3-LWLType=Local Kernel2019.04 | 49.3 | |
| SAEN2018.11 | 49.11 | |
| WL-PM2024.06 | 49.1 | |
| WL-PMMethod Category=Kernels2025.10 | 49.1 | |
| GRF++Method Category=Diffusion Baselines, degree=22025.10 | 49.1 | |
| GraphormerMethod Category=Graph Transformers2025.08 | 48.9 | |
| 1-2-3-GNNTuning status=No Tuning, Method category=GNN2018.10 | 48.8 | |
| GRFMethod Category=Diffusion Baselines2025.10 | 48.7 | |
| PF2019.04 | 48.6 | |
| TopKPool2024.10 | 48.59 | |
| Space OptimumRefinement budget=1002025.07 | 48.56 | |
| GCAPS-CNNcategory=Deep Learning Method2018.05 | 48.5 | |
| GINMethod Category=GNNs2025.10 | 48.5 | |
| GRF2025.10 | 48.33 | |
| SortPool2024.10 | 48.18 | |
| GIN2024.10 | 48.13 | |
| DYF2018.11 | 48.12 | |
| 2-WLType=Global Kernel2019.04 | 48.1 | |
| δ-2-WLType=Global Kernel2019.04 | 47.9 | |
| DGCNNcategory=Deep Learning Method2018.05 | 47.83 | |
| DGCNNMethod category=GNN2018.10 | 47.8 | |
| DGCNN2018.11 | 47.8 | |
| DGCNNMethod Category=GNN methods2025.08 | 47.8 | |
| RetGK2019.04 | 47.7 | |
| 1-GNNTuning status=Tuned, Method category=GNN2018.10 | 47.7 | |
| RetGk2018.11 | 47.7 | |
| ML2024.06 | 47.7 | |
| MLMethod Category=Kernels2025.10 | 47.7 | |
| RLRefinement budget=1002025.07 | 47.65 | |
| M-DESIGNRefinement budget=1002025.07 | 47.65 | |
| BGFI2024.06 | 47.6 | |
| GraphSAGEMethod Category=GNNs2025.10 | 47.6 | |
| DesiGNNRefinement budget=1002025.07 | 47.44 | |
| FB2018.11 | 47.34 | |
| RandomRefinement budget=1002025.07 | 47.33 |