Graph Classification on D&D
84AccuracyKP-GIN
Evaluation Results
| Method | Links | |
|---|---|---|
| KP-GINEvaluation protocol=10-fold cross-validation2026.03 | 84 | |
| GSNEvaluation protocol=10-fold cross-validation2026.03 | 83.9 | |
| ISP-GNN_OnionEvaluation protocol=10-fold cross-validation2026.03 | 83.8 | |
| ISP-GNN_DegreeEvaluation protocol=10-fold cross-validation2026.03 | 83.5 | |
| ISP-GNN†Evaluation protocol=10-fold cross-validation2026.03 | 83.5 | |
| ISP-GNN_CoreEvaluation protocol=10-fold cross-validation2026.03 | 83.4 | |
| AC-GINEvaluation protocol=10-fold cross-validation2026.03 | 82.7 | |
| g-U-Netslearning_type=Inductive learning2019.05 | 82.43 | |
| UnionGINEvaluation protocol=10-fold cross-validation2026.03 | 82.3 | |
| GINEvaluation protocol=10-fold cross-validation2026.03 | 82.2 | |
| ID-GNNEvaluation protocol=10-fold cross-validation2026.03 | 81.9 | |
| STDNhead=CP-TDA2025.12 | 81.86 | |
| GraphSNNEvaluation protocol=10-fold cross-validation2026.03 | 81.8 | |
| BEC-GINEvaluation protocol=10-fold cross-validation2026.03 | 81.8 | |
| hGANetk=82019.07 | 81.71 | |
| MaxCut-Pool2026.05 | 81.3 | |
| Trans. with X-LogSMasklayers=1-layer2026.07 | 81.2 | |
| Trans. with X-LogSMaskvariant=ours2026.07 | 81.2 | |
| cGANet2019.07 | 80.86 | |
| DiffPoollearning_type=Inductive learning2019.05 | 80.64 | |
| DiffPool2019.07 | 80.64 | |
| FractalGCLEvaluation Protocol=10-fold CV2025.05 | 80.14 | |
| DiffPool-NOLPlearning_type=Inductive learning2019.05 | 79.98 | |
| WLCategory=Graph Kernel2018.05 | 79.78 | |
| WLAlgorithm=WL2019.02 | 79.78 | |
| WL2025.12 | 79.78 | |
| GLKernel Type=Graphlet2016.06 | 79.7 | |
| HMH2026.05 | 79.7 | |
| CORE-WL-VH2024.06 | 79.5 | |
| CORE-WL-VHCategory=Kernels2025.10 | 79.5 | |
| DGCNNCategory=Deep Learning2018.05 | 79.37 | |
| DGCNNAlgorithm=DGCNN2019.02 | 79.37 | |
| DGCNNlearning_type=Inductive learning2019.05 | 79.37 | |
| DGCNN2019.07 | 79.37 | |
| CORE-SP2024.06 | 79.3 | |
| CORE-SPCategory=Kernels2025.10 | 79.3 | |
| WL-OAKernel Type=Weisfeiler-Lehman Optimal Assignment2016.06 | 79.2 | |
| DropGINEvaluation protocol=10-fold cross-validation2026.03 | 79.2 | |
| Mincut-Pool2026.05 | 79.2 | |
| Cluster-GT2024.10 | 79.15 | |
| HGK-WL2025.12 | 79.01 | |
| E-OAKernel Type=Edge Optimal Assignment2016.06 | 79 | |
| WLKernel Type=Weisfeiler-Lehman Convolution2016.06 | 79 | |
| SPKernel Type=Shortest-path2016.06 | 79 | |
| GradGCLEvaluation Protocol=10-fold CV2025.05 | 78.95 | |
| NSPDK2024.06 | 78.9 | |
| NSPDKCategory=Kernels2025.10 | 78.9 | |
| MGCLEvaluation Protocol=10-fold CV2025.05 | 78.88 | |
| RGCLEvaluation Protocol=10-fold CV2025.05 | 78.86 | |
| V-OAKernel Type=Vertex Optimal Assignment2016.06 | 78.8 | |
| GMT2024.10 | 78.72 | |
| GMT2026.07 | 78.72 | |
| WL-VH2024.06 | 78.7 | |
| SAGPool(G)2026.05 | 78.7 | |
| WL-VHCategory=Kernels2025.10 | 78.7 | |
| EigenPool2026.05 | 78.63 | |
| GraphCLEvaluation Protocol=10-fold CV2025.05 | 78.62 | |
| DiffPool2026.05 | 78.61 | |
| ML2024.06 | 78.6 | |
| MLCategory=Kernels2025.10 | 78.6 | |
| SEP2026.05 | 78.58 | |
| GKCategory=Graph Kernel2018.05 | 78.45 | |
| GKAlgorithm=GK2019.02 | 78.45 | |
| StructPool2024.10 | 78.45 | |
| DRGCLEvaluation Protocol=10-fold CV2025.05 | 78.4 | |
| EKernel Type=Edge Convolution2016.06 | 78.3 | |
| HGK-SP2025.12 | 78.26 | |
| MinCutPool2024.10 | 78.22 | |
| VKernel Type=Vertex Convolution2016.06 | 78.2 | |
| MLGCategory=Graph Kernel2018.05 | 78.18 | |
| MLGAlgorithm=MLG2019.02 | 78.18 | |
| SET2SET2019.07 | 78.12 | |
| SEP-G2024.10 | 77.98 | |
| Nauty + CapsulesLabelling Procedure=Nauty2019.02 | 77.9 | |
| SP2024.06 | 77.9 | |
| PM2024.06 | 77.9 | |
| SPCategory=Kernels2025.10 | 77.9 | |
| PMCategory=Kernels2025.10 | 77.9 | |
| Nested GCN2021.10 | 77.8 | |
| Nested-GIN2022.10 | 77.8 | |
| GDGINbase_gnn=GIN2022.10 | 77.8 | |
| PK2024.06 | 77.7 | |
| PKCategory=Kernels2025.10 | 77.7 | |
| GCAPS-CNN2018.05 | 77.62 | |
| GCAPS-CNNAlgorithm=GCAPS-CNN2019.02 | 77.62 | |
| ARMA2019.01 | 77.6 | |
| GDGCNbase_gnn=GCN2022.10 | 77.6 | |
| WL-OA2024.06 | 77.6 | |
| WL-OACategory=Kernels2025.10 | 77.6 | |
| DiffPool2024.10 | 77.56 | |
| SimGRACEEvaluation Protocol=10-fold CV2025.05 | 77.44 | |
| Nested GraphSAGE2021.10 | 77.4 | |
| JOAOv2Evaluation Protocol=10-fold CV2025.05 | 77.4 | |
| JOAOEvaluation Protocol=10-fold CV2025.05 | 77.32 | |
| gPool2026.05 | 77.02 | |
| ASAP2019.11 | 76.87 | |
| DGCNNCategory=GNNs2025.10 | 76.6 | |
| ASAP2024.10 | 76.58 | |
| SAGPOOL2019.11 | 76.45 | |
| ODD-STh2024.06 | 76.4 |