Graph Classification on NCI1 (10-fold cross-validation)
88.1AccuracyTFGW
Evaluation results
| Method | Links | ||
|---|---|---|---|
| TFGWInput Structure=Adjacency, L=22022.05 | 88.1 | — | |
| WKPI-kMMethod Category=Topology-based2026.05 | 87.5 | — | |
| WL-OAUnsupervised=true, No Algorithmic Insights=false, No Feature Engineering=false2019.04 | 86.1 | — | |
| TFGWInput Structure=Shortest-path, L=22022.05 | 86.1 | — | |
| WL KernelEvaluation Protocol=10-fold CV2023.08 | 86 | — | |
| WL KernelUnsupervised=true, No Algorithmic Insights=false, No Feature Engineering=false2019.04 | 85.8 | — | |
| WWL2022.05 | 85.7 | — | |
| WL2022.05 | 85.6 | — | |
| CIN++Evaluation Protocol=10-fold CV2023.08 | 85.3 | — | |
| PINEvaluation Protocol=10-fold CV2023.08 | 85.1 | — | |
| WLClassifier=binary C-SVM2016.03 | 84.65 | 0.25 | |
| WL-EdgeClassifier=binary C-SVM2016.03 | 84.51 | 0.27 | |
| CANEvaluation Protocol=10-fold CV2023.08 | 84.5 | — | |
| WKPI-kCMethod Category=Topology-based2026.05 | 84.5 | — | |
| RetGKMethod Category=Graph2026.05 | 84.5 | — | |
| WL2019.05 | 84.46 | — | |
| S2S-N2N-PPUnsupervised=true, No Algorithmic Insights=false, No Feature Engineering=true2019.04 | 83.72 | — | |
| OT-GNNL=42022.05 | 83.6 | — | |
| CINEvaluation Protocol=10-fold CV2023.08 | 83.6 | — | |
| GSNEvaluation Protocol=10-fold CV2023.08 | 83.5 | — | |
| TabICL-pipelinentrain=3,288, K=22026.06 | 83.33 | — | |
| pathGCNEvaluation Protocol=10-fold CV2023.08 | 83.3 | — | |
| PPGN2022.05 | 83.2 | — | |
| PPGNsEvaluation Protocol=10-fold CV2023.08 | 83.2 | — | |
| Ours 1b=400, d=2, suffix=(ii)2019.05 | 83.19 | — | |
| OT-GNNL=22022.05 | 82.9 | — | |
| GINEvaluation Protocol=10-fold CV2023.08 | 82.7 | — | |
| SINEvaluation Protocol=10-fold CV2023.08 | 82.7 | — | |
| GIN2019.05 | 82.7 | — | |
| GINLearning Paradigm=Supervised2024.05 | 82.7 | — | |
| GINMethod Category=Graph2026.05 | 82.7 | — | |
| PK2019.05 | 82.54 | — | |
| PKEvaluation Protocol=10-fold CV2023.08 | 82.5 | — | |
| Natural GNEvaluation Protocol=10-fold CV2023.08 | 82.4 | — | |
| PathNN-SP+K=32023.06 | 82.3 | — | |
| PathNN-APK=32023.06 | 82.3 | — | |
| PathNNEvaluation Protocol=10-fold CV2023.08 | 82.3 | — | |
| Hi-GMAE-FEncoder Type=Fi-Co, Learning Paradigm=Generative2024.05 | 82.21 | — | |
| GIN2022.05 | 82.2 | — | |
| PathNN-SPK=32023.06 | 82.2 | — | |
| PathNN-SPK=22023.06 | 82 | — | |
| Hi-GMAE-GEncoder Type=GNN, Learning Paradigm=Generative2024.05 | 82 | — | |
| DropGIN2022.05 | 81.9 | — | |
| MLGClassifier=binary C-SVM2016.03 | 81.75 | 0.24 | |
| GCMAELearning Paradigm=Generative2024.05 | 81.42 | — | |
| PathNN-APK=22023.06 | 81.3 | — | |
| Ours 2b=400, d=2, suffix=(i)2019.05 | 81.21 | — | |
| PathNN-SP+K=22023.06 | 81 | — | |
| Ours 3b=256, d=3, suffix=(ii)2019.05 | 80.97 | — | |
| DIFFPOOL2022.05 | 80.9 | — | |
| S2GAELearning Paradigm=Generative2024.05 | 80.8 | — | |
| GraphMAELearning Paradigm=Generative2024.05 | 80.4 | — | |
| DGK2019.05 | 80.31 | — | |
| DGKUnsupervised=true, No Algorithmic Insights=false, No Feature Engineering=true2019.04 | 80.3 | — | |
| InfoGCLLearning Paradigm=Contrastive2024.05 | 80.2 | — | |
| GIN2023.06 | 80 | — | |
| SPNK=12023.06 | 80 | — | |
| GINntrain=3,288, K=22026.06 | 80 | — | |
| FGSDProtocol=10-fold cross-validation2021.12 | 79.8 | — | |
| FGSD2019.05 | 79.8 | — | |
| SimGRACELearning Paradigm=Contrastive2024.05 | 79.12 | — | |
| CGKSLearning Paradigm=Contrastive2024.05 | 79.1 | — | |
| DiffPoolLearning Paradigm=Supervised2024.05 | 79 | — | |
| DRGCLLearning Paradigm=Contrastive2024.05 | 78.7 | — | |
| SPNK=52023.06 | 78.6 | — | |
| GraphMAE2Learning Paradigm=Generative2024.05 | 78.56 | — | |
| AUG-MAELearning Paradigm=Generative2024.05 | 78.48 | — | |
| AD-GCLLearning Paradigm=Contrastive2024.05 | 78.14 | — | |
| RGCLLearning Paradigm=Contrastive2024.05 | 78.1 | — | |
| JOAOLearning Paradigm=Contrastive2024.05 | 78.07 | — | |
| GraphCLLearning Paradigm=Contrastive2024.05 | 77.87 | — | |
| PathNN-PK=12023.06 | 77.5 | — | |
| GAT2023.06 | 77.3 | — | |
| PATCHY-SAN2022.05 | 76.9 | — | |
| DiffPool2023.06 | 76.9 | — | |
| ECCProtocol=10-fold cross-validation2021.12 | 76.82 | — | |
| ECC2019.05 | 76.82 | — | |
| DGCNN2023.06 | 76.4 | — | |
| PSCNUnsupervised=false, No Algorithmic Insights=false, No Feature Engineering=false2019.04 | 76.34 | — | |
| PSCNk=102019.05 | 76.34 | — | |
| ECPMethod Category=Topology-based2026.05 | 76.3 | — | |
| CCN2019.05 | 76.27 | — | |
| k-GNNProtocol=10-fold cross-validation2021.12 | 76.2 | — | |
| ECC2023.06 | 76.2 | — | |
| 1-2-3 GNN2019.05 | 76.2 | — | |
| InfographLearning Paradigm=Contrastive2024.05 | 76.2 | — | |
| GraphSAGE2023.06 | 76 | — | |
| WEGL2022.05 | 75.5 | — | |
| SP KernelUnsupervised=true, No Algorithmic Insights=false, No Feature Engineering=false2019.04 | 74.5 | — | |
| GCCLearning Paradigm=Contrastive2024.05 | 74.5 | — | |
| DGCNNUnsupervised=false, No Algorithmic Insights=false, No Feature Engineering=false2019.04 | 74.44 | — | |
| DGCNN2019.05 | 74.44 | — | |
| FGWInput Structure=Adjacency2022.05 | 74.4 | — | |
| DGCNNEvaluation Protocol=10-fold CV2023.08 | 74.4 | — | |
| Invariant Graph Networks2019.05 | 74.33 | — | |
| IGNEvaluation Protocol=10-fold CV2023.08 | 74.3 | — | |
| SPClassifier=binary C-SVM2016.03 | 73.61 | 0.36 | |
| PersLayMethod Category=Topology-based2026.05 | 73.5 | — | |
| graph2vecUnsupervised=true, No Algorithmic Insights=false, No Feature Engineering=true2019.04 | 73.22 | — | |
| FGWInput Structure=Shortest-path2022.05 | 72.8 | — |