Transductive Node Classification on Cora 5 labels per class
76.5Mean AccuracyCOLES-S^2GC
Evaluation results
| Method | Links | ||
|---|---|---|---|
| COLES-S^2GCLearning Paradigm=Contrastive2022.01 | 76.5 | 2.6 | |
| COLES-GCN (+Aug)Learning Paradigm=Contrastive + Augmentation2022.01 | 75.3 | 3.3 | |
| COLES-GCN (Stiefel)Learning Paradigm=Contrastive2022.01 | 75 | 3.4 | |
| SCELearning Paradigm=Contrastive2022.01 | 74.3 | 2.7 | |
| COLES-GCNLearning Paradigm=Contrastive2022.01 | 73.8 | 3.4 | |
| DGILearning Paradigm=Contrastive2022.01 | 72.9 | 4 | |
| Graph2GaussLearning Paradigm=Contrastive2022.01 | 72.7 | 2 | |
| GraphCLLearning Paradigm=Contrastive + Augmentation2022.01 | 72.6 | 4.2 | |
| PCA-S^2GCLearning Paradigm=Unsupervised2022.01 | 72.1 | 3.8 | |
| S^2GCLearning Paradigm=Unsupervised2022.01 | 71.4 | 4.4 | |
| GATLearning Paradigm=Semi-supervised2022.01 | 71.2 | 3.5 | |
| MixHopLearning Paradigm=Semi-supervised2022.01 | 67.9 | 5.7 | |
| GCNLearning Paradigm=Semi-supervised2022.01 | 67.5 | 4.8 | |
| RP-S^2GCLearning Paradigm=Unsupervised2022.01 | 65.9 | 4.6 | |
| SAGE with SampledNCELearning Paradigm=Contrastive2022.01 | 65 | 3.5 | |
| GRACELearning Paradigm=Contrastive + Augmentation2022.01 | 64.9 | 4.2 | |
| SGCLearning Paradigm=Unsupervised2022.01 | 63.9 | 5.4 | |
| GCALearning Paradigm=Contrastive + Augmentation2022.01 | 61.5 | 4.9 | |
| GCN with SampledNCELearning Paradigm=Contrastive2022.01 | 61.3 | 4.3 | |
| DeepWalkLearning Paradigm=Contrastive2022.01 | 60.3 | 4 |