Graph Classification on D&D (10-fold cross val)
83.68AccuracyHi-GMAE-F
Evaluation Results
| Method | Links | |
|---|---|---|
| Hi-GMAE-FEncoder Type=Fi-Co, Learning Paradigm=Generative2024.05 | 83.68 | |
| Hi-GMAE-GEncoder Type=GNN, Learning Paradigm=Generative2024.05 | 80.03 | |
| RGCLLearning Paradigm=Contrastive2024.05 | 78.9 | |
| AUG-MAELearning Paradigm=Generative2024.05 | 78.79 | |
| GraphMAE2Learning Paradigm=Generative2024.05 | 78.66 | |
| S2GAELearning Paradigm=Generative2024.05 | 78.63 | |
| GraphCLLearning Paradigm=Contrastive2024.05 | 78.62 | |
| GraphMAELearning Paradigm=Generative2024.05 | 78.47 | |
| DRGCLLearning Paradigm=Contrastive2024.05 | 78.4 | |
| DiffPoolLearning Paradigm=Supervised2024.05 | 77.6 | |
| SimGRACELearning Paradigm=Contrastive2024.05 | 77.44 | |
| JOAOLearning Paradigm=Contrastive2024.05 | 77.32 | |
| AD-GCLLearning Paradigm=Contrastive2024.05 | 75.73 | |
| GCCLearning Paradigm=Contrastive2024.05 | 75.5 | |
| InfographLearning Paradigm=Contrastive2024.05 | 72.85 | |
| GINLearning Paradigm=Supervised2024.05 | 70.8 |