Graph Classification on IMDB-BINARY
81.2AccuracyISP-GNN†
Evaluation results
| Method | Links | |
|---|---|---|
| ISP-GNN†Evaluation protocol=10-fold cross-validation2026.03 | 81.2 | |
| Space OptimumRefinement budget=1002025.07 | 81 | |
| M-DESIGNRefinement budget=1002025.07 | 81 | |
| BEC-GINEvaluation protocol=10-fold cross-validation2026.03 | 80.8 | |
| DesiGNNRefinement budget=1002025.07 | 80.73 | |
| AutoTransferRefinement budget=1002025.07 | 80.17 | |
| RLRefinement budget=1002025.07 | 80.08 | |
| GraphNASRefinement budget=1002025.07 | 80 | |
| ISP-GNN_DegreeEvaluation protocol=10-fold cross-validation2026.03 | 80 | |
| RandomRefinement budget=1002025.07 | 79.98 | |
| ISP-GNN_CoreEvaluation protocol=10-fold cross-validation2026.03 | 79.8 | |
| KP-GINEvaluation protocol=10-fold cross-validation2026.03 | 79.7 | |
| GSNEvaluation protocol=10-fold cross-validation2026.03 | 79.6 | |
| ISP-GNN_OnionEvaluation protocol=10-fold cross-validation2026.03 | 79.6 | |
| GIN-AK+Evaluation protocol=10-fold cross-validation2026.03 | 79.4 | |
| ID-GNNEvaluation protocol=10-fold cross-validation2026.03 | 79.3 | |
| EARefinement budget=1002025.07 | 79.28 | |
| Auto-GNNRefinement budget=1002025.07 | 79.12 | |
| UnionGINEvaluation protocol=10-fold cross-validation2026.03 | 79.1 | |
| AC-GINEvaluation protocol=10-fold cross-validation2026.03 | 79 | |
| GraphSNNEvaluation protocol=10-fold cross-validation2026.03 | 78.5 | |
| NC-GNNEvaluation protocol=10-fold cross-validation2026.03 | 78.4 | |
| DropGINEvaluation protocol=10-fold cross-validation2026.03 | 78.2 | |
| GINEvaluation protocol=10-fold cross-validation2026.03 | 78.1 | |
| NAS-Bench-GraphRefinement budget=1002025.07 | 75.83 | |
| Cluster-GT2024.10 | 75.1 | |
| SGFormerMethod Category=Graph Transformers2025.08 | 74.7 | |
| GEFRFE-learnable(α)Method Category=GEFRFE (GEFRFE-learnable(α))2025.08 | 74.6 | |
| SEP-G2024.10 | 74.12 | |
| WL kernelMethod Category=Kernel methods2025.08 | 73.8 | |
| GCNMethod Category=GNN methods2025.08 | 73.8 | |
| WL-PM2024.06 | 73.6 | |
| WL-PMMethod Category=Kernels2025.10 | 73.6 | |
| CORE-WL-VH2024.06 | 73.5 | |
| GraphormerMethod Category=Graph Transformers2025.08 | 73.5 | |
| CORE-WL-VHMethod Category=Kernels2025.10 | 73.5 | |
| GMT2024.10 | 73.48 | |
| GCN2024.10 | 73.26 | |
| DiffPool2024.10 | 73.14 | |
| Set2Set2024.10 | 72.9 | |
| WL subtree2026.05 | 72.9 | |
| ASAP2024.10 | 72.81 | |
| GIN2024.10 | 72.78 | |
| MinCutPool2024.10 | 72.65 | |
| WL-OA2024.06 | 72.6 | |
| WL-OAMethod Category=Kernels2025.10 | 72.6 | |
| PANDABackbone=GIN2024.06 | 72.56 | |
| SAGPool(H)2024.10 | 72.55 | |
| Baseline2025.10 | 72.3 | |
| DiffusionMethod Category=Diffusion Baselines2025.10 | 72.3 | |
| GEFFE-learnable(1)Method Category=GEFRFE (GEFRFE-learnable(α))2025.08 | 72.2 | |
| GraphGymRefinement budget=1002025.07 | 72.17 | |
| SAGPool(G)2024.10 | 72.16 | |
| SortPool2024.10 | 72.12 | |
| R-GIN + PANDABackbone=R-GIN, Rewiring Method=PANDA2024.06 | 72.09 | |
| StructPool2024.10 | 72.06 | |
| R-GIN + FOSRBackbone=R-GIN, Rewiring Method=FOSR2024.06 | 71.81 | |
| NH2024.06 | 71.6 | |
| NHMethod Category=Kernels2025.10 | 71.6 | |
| TopKPool2024.10 | 71.58 | |
| R-GIN + GTRBackbone=R-GIN, Rewiring Method=GTR2024.06 | 71.49 | |
| R-GIN + Every Layer FABackbone=R-GIN, Rewiring Method=Every Layer FA2024.06 | 71.48 | |
| BORFBackbone=GIN2024.06 | 71.3 | |
| GTRBackbone=GIN2024.06 | 71.28 | |
| FOSRBackbone=GIN2024.06 | 71.21 | |
| GRF++Method Category=Diffusion Baselines, halting probability=0.1, degree=22025.10 | 71.2 | |
| GINMethod Category=GNNs2025.10 | 71.2 | |
| TransformerMethod Category=Graph Transformers2025.08 | 71.1 | |
| Last Layer FABackbone=GIN2024.06 | 70.91 | |
| WL-VH2024.06 | 70.7 | |
| WL-VHMethod Category=Kernels2025.10 | 70.7 | |
| GRF++2025.10 | 70.68 | |
| R-GIN + SDRFBackbone=R-GIN, Rewiring Method=SDRF2024.06 | 70.21 | |
| NetLSD2026.05 | 70.2 | |
| GINRewiring=None2024.06 | 70.18 | |
| Graphlet2026.05 | 70 | |
| DGCNNMethod Category=GNN methods2025.08 | 70 | |
| ML2024.06 | 69.9 | |
| MLMethod Category=Kernels2025.10 | 69.9 | |
| SDRFBackbone=GIN2024.06 | 69.72 | |
| R-GIN + Last Layer FABackbone=R-GIN, Rewiring Method=Last Layer FA2024.06 | 69.71 | |
| DGCNNMethod Category=GNNs2025.10 | 69.2 | |
| GRF2025.10 | 69.12 | |
| GRFMethod Category=Diffusion Baselines, halting probability=0.12025.10 | 68.9 | |
| R-GINBackbone=R-GIN, Rewiring Method=None2024.06 | 68.889 | |
| GraphSAGEMethod Category=GNNs2025.10 | 68.8 | |
| CORE-SP2024.06 | 68.5 | |
| CORE-SPMethod Category=Kernels2025.10 | 68.5 | |
| DiffPoolMethod Category=GNNs2025.10 | 68.4 | |
| NSPDK2024.06 | 67.4 | |
| NSPDKMethod Category=Kernels2025.10 | 67.4 | |
| R-GCN + PANDABackbone=R-GCN, Rewiring Method=PANDA2024.06 | 66.79 | |
| PM2024.06 | 66.3 | |
| PMMethod Category=Kernels2025.10 | 66.3 | |
| GR2024.06 | 66.1 | |
| GRMethod Category=Kernels2025.10 | 66.1 | |
| GKMethod Category=Kernel methods2025.08 | 65.9 | |
| FTFI2024.06 | 65.1 | |
| BGFI2024.06 | 65.1 | |
| R-GCN + GTRBackbone=R-GCN, Rewiring Method=GTR2024.06 | 65.09 |