Graph Classification on COLLAB Social TU (10-fold cross val)
83.6AccuracyHi-GMAE-F
Evaluation results
| Method | Links | |
|---|---|---|
| Hi-GMAE-FEncoder Type=Fi-Co, Learning Paradigm=Generative2024.05 | 83.6 | |
| Hi-GMAE-GEncoder Type=GNN, Learning Paradigm=Generative2024.05 | 82.16 | |
| GCMAELearning Paradigm=Generative2024.05 | 81.32 | |
| HyperDropArchitecture Type=Ours, Evaluation Protocol=10-fold CV2021.06 | 81.29 | |
| S2GAELearning Paradigm=Generative2024.05 | 81.02 | |
| MinCutPoolArchitecture Type=Hierarchical, Evaluation Protocol=10-fold CV2021.06 | 80.87 | |
| GMTArchitecture Type=Global, Evaluation Protocol=10-fold CV2021.06 | 80.74 | |
| GCNArchitecture Type=Naive GNN, Evaluation Protocol=10-fold CV2021.06 | 80.59 | |
| HyperDrop + GMTArchitecture Type=Ours, Evaluation Protocol=10-fold CV2021.06 | 80.59 | |
| AUG-MAELearning Paradigm=Generative2024.05 | 80.48 | |
| GraphMAELearning Paradigm=Generative2024.05 | 80.32 | |
| GINLearning Paradigm=Supervised2024.05 | 80.2 | |
| InfoGCLLearning Paradigm=Contrastive2024.05 | 80 | |
| DiffPoolLearning Paradigm=Supervised2024.05 | 78.9 | |
| GCCLearning Paradigm=Contrastive2024.05 | 78.9 | |
| DiffPoolArchitecture Type=Hierarchical, Evaluation Protocol=10-fold CV2021.06 | 78.68 | |
| ASAPArchitecture Type=Hierarchical, Evaluation Protocol=10-fold CV2021.06 | 78.64 | |
| GINArchitecture Type=Naive GNN, Evaluation Protocol=10-fold CV2021.06 | 78.19 | |
| SAGPoolArchitecture Type=Hierarchical, Evaluation Protocol=10-fold CV2021.06 | 78.03 | |
| SortPoolArchitecture Type=Global, Evaluation Protocol=10-fold CV2021.06 | 77.87 | |
| GraphMAE2Learning Paradigm=Generative2024.05 | 77.59 | |
| TopKPoolArchitecture Type=Hierarchical, Evaluation Protocol=10-fold CV2021.06 | 77.58 | |
| CGKSLearning Paradigm=Contrastive2024.05 | 76.8 | |
| DeepSetArchitecture Type=Set, Evaluation Protocol=10-fold CV2021.06 | 75.27 | |
| AD-GCLLearning Paradigm=Contrastive2024.05 | 74.89 | |
| SimGRACELearning Paradigm=Contrastive2024.05 | 71.72 | |
| GraphCLLearning Paradigm=Contrastive2024.05 | 71.36 | |
| RGCLLearning Paradigm=Contrastive2024.05 | 71 | |
| InfographLearning Paradigm=Contrastive2024.05 | 70.65 | |
| DRGCLLearning Paradigm=Contrastive2024.05 | 70.6 | |
| JOAOLearning Paradigm=Contrastive2024.05 | 69.5 |