Graph Classification on PROTEINS
90.3AccuracyET
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| ETevaluation_protocol=100 runs of 10-fold cross-validation2026.06 | 90.3 | — | — | — | — | — | — | |
| CDATevaluation_protocol=100 runs of 10-fold cross-validation2026.06 | 87.1 | — | — | — | — | — | — | |
| IPR-MPNN2024.05 | 85.4 | — | — | — | — | — | — | |
| HGP-SLevaluation_protocol=100 runs of 10-fold cross-validation2026.06 | 84.9 | — | — | — | — | — | — | |
| ESA2024.02 | 82.7 | — | — | — | — | — | — | |
| AutoGELType=AutoGNN2021.12 | 82.68 | — | — | — | — | — | — | |
| FIT-GNNBackbone=GCN, Reduction Ratio (r)=0.32024.10 | 82.6 | — | — | — | — | — | — | |
| FIT-GNNBackbone=SAGE, Reduction Ratio (r)=0.72024.10 | 82.6 | — | — | — | — | — | — | |
| GRDL2026.03 | 82.6 | — | — | — | — | — | — | |
| GRDLevaluation_protocol=100 runs of 10-fold cross-validation2026.06 | 82.6 | — | — | — | — | — | — | |
| PR-MPNN2024.05 | 80.7 | — | — | — | — | — | — | |
| Trans. with X-LogSMaskvariant=ours2026.07 | 80.63 | — | — | — | — | — | — | |
| CIN++Type=Topological neural network2023.06 | 80.5 | — | — | — | — | — | — | |
| CIN++2024.05 | 80.5 | — | — | — | — | — | — | |
| VEPMLearning Paradigm=Supervised/Semi-supervised2024.08 | 80.5 | — | — | — | — | — | — | |
| StructPoolevaluation_protocol=10-fold cross-validation2021.07 | 80.36 | — | — | — | — | — | — | |
| ISP-GNN†Evaluation protocol=10-fold cross-validation2026.03 | 80.2 | — | — | — | — | — | — | |
| UGT2023.08 | 80.12 | — | — | — | — | — | — | |
| G2N2Peak GPU Memory (MB)=161882026.05 | 80.1 | — | — | — | — | — | — | |
| WITTOPOPOOL2026.03 | 80 | — | — | — | — | — | — | |
| U2GNNevaluation_protocol=100 runs of 10-fold cross-validation2026.06 | 80 | — | — | — | — | — | — | |
| TL-GNNValidation=Tenfold cross-validation2024.12 | 79.9 | — | — | — | — | — | — | |
| ISP-GNN_DegreeEvaluation protocol=10-fold cross-validation2026.03 | 79.8 | — | — | — | — | — | — | |
| Space OptimumRefinement budget=1002025.07 | 79.73 | — | — | — | — | — | — | |
| DesiGNNRefinement budget=1002025.07 | 79.73 | — | — | — | — | — | — | |
| M-DESIGNRefinement budget=1002025.07 | 79.73 | — | — | — | — | — | — | |
| ISP-GNN_CoreEvaluation protocol=10-fold cross-validation2026.03 | 79.6 | — | — | — | — | — | — | |
| KP-GINEvaluation protocol=10-fold cross-validation2026.03 | 79.5 | — | — | — | — | — | — | |
| AC-GINEvaluation protocol=10-fold cross-validation2026.03 | 79.5 | — | — | — | — | — | — | |
| ISP-GNN_OnionEvaluation protocol=10-fold cross-validation2026.03 | 79.4 | — | — | — | — | — | — | |
| HGPevaluation_protocol=100 runs of 10-fold cross-validation2026.06 | 79.4 | — | — | — | — | — | — | |
| δ-2-LWL+Type=Local Kernel2019.04 | 79.3 | — | — | — | — | — | — | |
| MGNNIValidation=10-fold cross-validation, Setting=Inductive2022.10 | 79.2 | — | 2.9 | — | — | — | — | |
| BEC-GINEvaluation protocol=10-fold cross-validation2026.03 | 79.1 | — | — | — | — | — | — | |
| GraphCrocEpochs=1002024.10 | 79.09 | — | — | — | — | — | — | |
| CH-CL2026.04 | 79.06 | — | — | — | — | — | — | |
| Graphormer2026.05 | 78.98 | — | — | — | — | — | — | |
| (s)GIN-0neighborhood enlargement=true, epsilon=02019.05 | 78.97 | — | — | — | — | — | — | |
| STDNhead=CP-TDA2025.12 | 78.93 | — | — | — | — | — | — | |
| STDN2025.12 | 78.93 | — | 2.07 | — | — | — | — | |
| RLRefinement budget=1002025.07 | 78.92 | — | — | — | — | — | — | |
| GIN-AK+Evaluation protocol=10-fold cross-validation2026.03 | 78.9 | — | — | — | — | — | — | |
| UnionGINEvaluation protocol=10-fold cross-validation2026.03 | 78.9 | — | — | — | — | — | — | |
| QRBFKernel Type=Quantum RBF2025.11 | 78.85 | — | — | — | — | 75.9 | — | |
| GraphNASRefinement budget=1002025.07 | 78.83 | — | — | — | — | — | — | |
| GINEvaluation protocol=10-fold cross-validation2026.03 | 78.8 | — | — | — | — | — | — | |
| SNNValidation=Tenfold cross-validation, Variant=SNN(α, (1, 1)), γ=0.52024.12 | 78.7 | — | — | — | — | — | — | |
| EARefinement budget=1002025.07 | 78.67 | — | — | — | — | — | — | |
| hGANetk=82019.07 | 78.65 | — | — | — | — | — | — | |
| UGformerArchitecture=Variant 1, Inference Setting=Inductive, Evaluation Protocol=10-fold cross-validation2019.09 | 78.53 | — | — | — | — | — | — | |
| RandomRefinement budget=1002025.07 | 78.53 | — | — | — | — | — | — | |
| UGT# Parameters=1,8782023.11 | 78.53 | — | — | — | — | — | — | |
| UGT2023.11 | 78.53 | — | — | — | — | — | — | |
| CTQWformer2026.05 | 78.53 | — | — | — | — | — | — | |
| CTQWformer2026.05 | 78.53 | — | — | — | — | — | — | |
| WKPIConfig Category=Top NT, Landmarks (K)=200, Evaluation Protocol=5 seeds x 10 folds2026.05 | 78.5 | — | — | — | — | — | — | |
| WKPI (k-means)evaluation_protocol=100 runs of 10-fold cross-validation2026.06 | 78.5 | — | — | — | — | — | — | |
| (s)GCNevaluation=10-cross validation, continuous node attribute=false, batch normalization=false2019.05 | 78.49 | — | — | — | — | — | — | |
| GraphGPS2026.05 | 78.44 | — | — | — | — | — | — | |
| GraphSNNEvaluation protocol=10-fold cross-validation2026.03 | 78.4 | — | — | — | — | — | — | |
| NC-GNNEvaluation protocol=10-fold cross-validation2026.03 | 78.4 | — | — | — | — | — | — | |
| DisenSemiLearning Paradigm=Supervised/Semi-supervised2024.08 | 78.4 | — | — | — | — | — | — | |
| AutoTransferRefinement budget=1002025.07 | 78.38 | — | — | — | — | — | — | |
| FIT-GNNBackbone=GCN, Reduction Ratio (r)=0.12024.10 | 78.3 | — | — | — | — | — | — | |
| FIT-GNNBackbone=GCN, Reduction Ratio (r)=0.72024.10 | 78.3 | — | — | — | — | — | — | |
| FIT-GNNBackbone=GIN, Reduction Ratio (r)=0.32024.10 | 78.3 | — | — | — | — | — | — | |
| cGANet2019.07 | 78.23 | — | — | — | — | — | — | |
| (s)MGCNevaluation=10-cross validation, continuous node attribute=false, batch normalization=false2019.05 | 78.23 | — | — | — | — | — | — | |
| PXGL-GNN2025.12 | 78.23 | — | — | — | — | — | — | |
| CANType=Topological neural network2023.06 | 78.2 | — | — | — | — | — | — | |
| CAN2024.05 | 78.2 | — | — | — | — | — | — | |
| GSNEvaluation protocol=10-fold cross-validation2026.03 | 78.2 | — | — | — | — | — | — | |
| ALL-IN2026.05 | 78.2 | — | — | — | — | — | — | |
| ALL-INpropagated covariance operators=full2026.05 | 78.2 | — | — | — | — | — | — | |
| DiffPool2023.05 | 78.1 | — | — | — | — | — | — | |
| HVG+-GINbackbone=GIN2025.12 | 78.1 | — | — | — | — | — | — | |
| ID-GNNEvaluation protocol=10-fold cross-validation2026.03 | 78.1 | — | — | — | — | — | — | |
| (s)MGCNKevaluation=10-cross validation, continuous node attribute=false, batch normalization=false2019.05 | 78.04 | — | — | — | — | — | — | |
| (s)GCNneighborhood enlargement=true2019.05 | 77.99 | — | — | — | — | — | — | |
| AIA2022.11 | 77.92 | — | — | — | — | — | — | |
| WWL2019.06 | 77.91 | — | — | — | — | — | — | |
| GIN + DIGRAFBackbone=GIN, Activation=DIGRAF, Adaptive=true2024.07 | 77.9 | — | — | — | — | — | — | |
| PMHsigma=0.12026.04 | 77.86 | — | — | — | — | — | — | |
| IGNNValidation=10-fold cross-validation, Setting=Inductive2022.10 | 77.7 | — | 3.4 | — | — | — | — | |
| GATv22024.02 | 77.7 | — | — | — | — | — | — | |
| PNA2024.02 | 77.7 | — | — | — | — | — | — | |
| SAT2026.03 | 77.7 | — | — | — | — | — | — | |
| Auto-GNNRefinement budget=1002025.07 | 77.69 | — | — | — | — | — | — | |
| g-U-Netslearning_type=Inductive learning2019.05 | 77.68 | — | — | — | — | — | — | |
| GIC2018.11 | 77.65 | — | — | — | — | — | — | |
| NAS-Bench-GraphRefinement budget=1002025.07 | 77.63 | — | — | — | — | — | — | |
| TTG-NN2025.12 | 77.62 | — | 3.92 | — | — | — | — | |
| (s)GIN-epsilonneighborhood enlargement=true2019.05 | 77.61 | — | — | — | — | — | — | |
| DiGGRLearning Paradigm=Unsupervised2024.08 | 77.61 | — | — | — | — | — | — | |
| PGIBcont2023.10 | 77.5 | — | — | — | — | — | — | |
| sCWNcPeak GPU Memory (MB)=252026.05 | 77.5 | — | — | — | — | — | — | |
| GIN + GRANOLAevaluation_protocol=100 runs of 10-fold cross-validation2026.06 | 77.5 | — | — | — | — | — | — | |
| FullBackbone=GIN, Reduction Ratio (r)=1.02024.10 | 77.4 | — | — | — | — | — | — | |
| DropGINEvaluation protocol=10-fold cross-validation2026.03 | 77.4 | — | — | — | — | — | — | |
| GIN + GraphNormevaluation_protocol=100 runs of 10-fold cross-validation2026.06 | 77.4 | — | — | — | — | — | — |