Graph Classification on REDDIT-B Social (10-fold cross-validation)
92.4AccuracyGIN
Evaluation Results
| Method | Links | |
|---|---|---|
| GINLearning Paradigm=Supervised2024.05 | 92.4 | |
| AD-GCLLearning Paradigm=Contrastive2024.05 | 92.35 | |
| DiffPoolLearning Paradigm=Supervised2024.05 | 92.1 | |
| GCMAELearning Paradigm=Generative2024.05 | 91.75 | |
| CGKSLearning Paradigm=Contrastive2024.05 | 91.7 | |
| DRGCLLearning Paradigm=Contrastive2024.05 | 90.8 | |
| RGCLLearning Paradigm=Contrastive2024.05 | 90.3 | |
| GCCLearning Paradigm=Contrastive2024.05 | 89.8 | |
| GraphCLLearning Paradigm=Contrastive2024.05 | 89.53 | |
| SimGRACELearning Paradigm=Contrastive2024.05 | 89.51 | |
| Hi-GMAE-GEncoder Type=GNN, Learning Paradigm=Generative2024.05 | 88.81 | |
| Hi-GMAE-FEncoder Type=Fi-Co, Learning Paradigm=Generative2024.05 | 88.22 | |
| GraphMAELearning Paradigm=Generative2024.05 | 88.01 | |
| AUG-MAELearning Paradigm=Generative2024.05 | 87.98 | |
| S2GAELearning Paradigm=Generative2024.05 | 87.83 | |
| JOAOLearning Paradigm=Contrastive2024.05 | 85.29 | |
| InfographLearning Paradigm=Contrastive2024.05 | 82.5 | |
| GraphMAE2Learning Paradigm=Generative2024.05 | 76.84 |