Graph Classification on PROTEINS (10-fold cross-validation)
83.88AccuracyHi-GMAE-F
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Hi-GMAE-FEncoder Type=Fi-Co, Learning Paradigm=Generative2024.05 | 83.88 | — | |
| TFGWInput Structure=Adjacency, L=22022.05 | 82.9 | — | |
| TFGWInput Structure=Shortest-path, L=22022.05 | 82 | — | |
| ESAN + SSMAaggregation=SSMA2024.09 | 80.69 | — | |
| CIN++Evaluation Protocol=10-fold CV2023.08 | 80.5 | — | |
| pathGCNEvaluation Protocol=10-fold CV2023.08 | 80.4 | — | |
| GAT + SSMAaggregation=SSMA2024.09 | 80.18 | — | |
| PINEvaluation Protocol=10-fold CV2023.08 | 78.8 | — | |
| WKPI-kMMethod Category=Topology-based2026.05 | 78.5 | — | |
| CANvalidation=10-fold cross-validation2022.09 | 78.2 | — | |
| CANEvaluation Protocol=10-fold CV2023.08 | 78.2 | — | |
| DiffPool2019.05 | 78.1 | — | |
| OT-GNNL=42022.05 | 78 | — | |
| PPGNsevaluation_protocol=10-fold cross-validation2023.09 | 77.2 | — | |
| PPGNN2023.10 | 77.2 | — | |
| PPGNComplexity=O(n^3)2021.11 | 77.2 | — | |
| PPGNS2021.10 | 77.2 | — | |
| PPGN2022.05 | 77.2 | — | |
| PPGNsvalidation=10-fold cross-validation2022.09 | 77.2 | — | |
| PPGNsEvaluation Protocol=10-fold CV2023.08 | 77.2 | — | |
| Ours 1b=400, d=2, suffix=(ii)2019.05 | 77.2 | — | |
| 2D CNN2017.07 | 77.12 | 2.79 | |
| GIN-AK+2021.10 | 77.1 | — | |
| HiGCNevaluation_protocol=10-fold cross-validation2023.09 | 77 | — | |
| CIN2021.10 | 77 | — | |
| CINvalidation=10-fold cross-validation2022.09 | 77 | — | |
| CINEvaluation Protocol=10-fold CV2023.08 | 77 | — | |
| DropGIN2022.05 | 76.9 | — | |
| TabPFN-GNevaluation protocol=10-fold cross-validation2025.12 | 76.8 | — | |
| MPSNevaluation_protocol=10-fold cross-validation2023.09 | 76.7 | — | |
| Ours 3b=256, d=3, suffix=(ii)2019.05 | 76.66 | — | |
| Hi-GMAE-GEncoder Type=GNN, Learning Paradigm=Generative2024.05 | 76.63 | — | |
| IGNevaluation_protocol=10-fold cross-validation2023.09 | 76.6 | — | |
| GIK2017.07 | 76.6 | 0.6 | |
| IGN2021.10 | 76.6 | — | |
| GSN2021.10 | 76.6 | — | |
| OT-GNNL=22022.05 | 76.6 | — | |
| IGNvalidation=10-fold cross-validation2022.09 | 76.6 | — | |
| GSNvalidation=10-fold cross-validation2022.09 | 76.6 | — | |
| IGNEvaluation Protocol=10-fold CV2023.08 | 76.6 | — | |
| GSNEvaluation Protocol=10-fold CV2023.08 | 76.6 | — | |
| IGN2023.10 | 76.58 | — | |
| Invariant Graph Networks2019.05 | 76.58 | — | |
| SIN2021.10 | 76.4 | — | |
| SINvalidation=10-fold cross-validation2022.09 | 76.4 | — | |
| SINEvaluation Protocol=10-fold CV2023.08 | 76.4 | — | |
| Ours 2b=400, d=2, suffix=(i)2019.05 | 76.39 | — | |
| S2GAELearning Paradigm=Generative2024.05 | 76.37 | — | |
| MLGClassifier=binary C-SVM2016.03 | 76.34 | 0.72 | |
| DiffpoolFeature Set=Node Label2020.03 | 76.3 | — | |
| DropGINComplexity=O(rn), r≈202021.11 | 76.3 | — | |
| PDF2023.10 | 76.28 | — | |
| GCN + SSMAaggregation=SSMA2024.09 | 76.28 | — | |
| DiffPool2019.04 | 76.25 | — | |
| GINevaluation_protocol=10-fold cross-validation2023.09 | 76.2 | — | |
| CapsGNN2023.10 | 76.2 | — | |
| GIN2023.10 | 76.2 | — | |
| RetGK2019.04 | 76.2 | — | |
| GINComplexity=O(n)2021.11 | 76.2 | — | |
| GIN2021.10 | 76.2 | — | |
| GIN2022.05 | 76.2 | — | |
| GINvalidation=10-fold cross-validation2022.09 | 76.2 | — | |
| GINevaluation_protocol=10-fold cross-validation2019.05 | 76.2 | — | |
| GINEvaluation Protocol=10-fold CV2023.08 | 76.2 | — | |
| GIN2019.05 | 76.2 | — | |
| GINLearning Paradigm=Supervised2024.05 | 76.2 | — | |
| GINMethod Category=Graph2026.05 | 76.2 | — | |
| MFNBackbone=GCN2023.10 | 76.18 | — | |
| CGKSLearning Paradigm=Contrastive2024.05 | 76 | — | |
| TabICL-pipelinentrain=890, K=22026.06 | 75.98 | — | |
| ESANaggregation=sum, reported=true2024.09 | 75.9 | — | |
| AUG-MAELearning Paradigm=Generative2024.05 | 75.83 | — | |
| RetGKMethod Category=Graph2026.05 | 75.8 | — | |
| Ring-GNNevaluation_protocol=10-fold cross-validation2019.05 | 75.7 | — | |
| DGK2023.10 | 75.68 | — | |
| PNA + SSMAaggregation=SSMA2024.09 | 75.68 | — | |
| DGK2019.05 | 75.68 | — | |
| SPClassifier=binary C-SVM2016.03 | 75.61 | 0.45 | |
| GraphGPS + SSMAaggregation=SSMA2024.09 | 75.56 | — | |
| DGCNN2017.07 | 75.54 | 0.94 | |
| DGCNN2019.05 | 75.54 | — | |
| DGCNNevaluation_protocol=10-fold cross-validation2023.09 | 75.5 | — | |
| k-GNN2023.10 | 75.5 | — | |
| DGCNN2019.04 | 75.5 | — | |
| DGCNNComplexity=O(n)2021.11 | 75.5 | — | |
| 1-2-3 GNNComplexity=O(n^4)2021.11 | 75.5 | — | |
| DGCNN2021.10 | 75.5 | — | |
| DGCNNvalidation=10-fold cross-validation2022.09 | 75.5 | — | |
| DGCNNEvaluation Protocol=10-fold CV2023.08 | 75.5 | — | |
| 1-2-3 GNN2019.05 | 75.5 | — | |
| Hierarchical PoolingFeature Set=Node Label2020.03 | 75.46 | — | |
| HyperDrop + GMTArchitecture Type=Ours, Evaluation Protocol=10-fold CV2021.06 | 75.39 | — | |
| GCNaggregation=sum, reproduced=true2024.09 | 75.39 | — | |
| GCNevaluation protocol=10-fold cross-validation2025.12 | 75.39 | — | |
| SimGRACELearning Paradigm=Contrastive2024.05 | 75.35 | — | |
| SAEN2019.04 | 75.31 | — | |
| HyperDropArchitecture Type=Ours, Evaluation Protocol=10-fold CV2021.06 | 75.3 | — | |
| GraphMAELearning Paradigm=Generative2024.05 | 75.3 | — | |
| GATv2 + SSMAaggregation=SSMA2024.09 | 75.28 | — | |
| 2-IGNevaluation_protocol=10-fold cross-validation2019.05 | 75.2 | — |