Transductive Node Classification on Citeseer 20 labels per class
71.7Mean Classification AccuracyCOLES-GCN (Stiefel)
Evaluation results
| Method | Links | ||
|---|---|---|---|
| COLES-GCN (Stiefel)Learning Paradigm=Contrastive2022.01 | 71.7 | 0.9 | |
| COLES-S^2GCLearning Paradigm=Contrastive2022.01 | 71.3 | 1 | |
| DGILearning Paradigm=Contrastive2022.01 | 71.1 | 1.1 | |
| GraphCLLearning Paradigm=Contrastive + Augmentation2022.01 | 71.1 | 0.8 | |
| SCELearning Paradigm=Contrastive2022.01 | 70.7 | 1.2 | |
| COLES-GCN (+Aug)Learning Paradigm=Contrastive + Augmentation2022.01 | 69.8 | 1.3 | |
| SGCLearning Paradigm=Unsupervised2022.01 | 69.8 | 1.4 | |
| S^2GCLearning Paradigm=Unsupervised2022.01 | 69.5 | 1.2 | |
| GCNLearning Paradigm=Semi-supervised2022.01 | 69.4 | 1.4 | |
| GATLearning Paradigm=Semi-supervised2022.01 | 69.1 | 1.5 | |
| COLES-GCNLearning Paradigm=Contrastive2022.01 | 69 | 1.3 | |
| PCA-S^2GCLearning Paradigm=Unsupervised2022.01 | 68.8 | 1.3 | |
| GRACELearning Paradigm=Contrastive + Augmentation2022.01 | 68.4 | 1.6 | |
| MixHopLearning Paradigm=Semi-supervised2022.01 | 67.1 | 2 | |
| Graph2GaussLearning Paradigm=Contrastive2022.01 | 65.7 | 1.5 | |
| RP-S^2GCLearning Paradigm=Unsupervised2022.01 | 61.7 | 1.6 | |
| GCN with SampledNCELearning Paradigm=Contrastive2022.01 | 56.8 | 1.9 | |
| SAGE with SampledNCELearning Paradigm=Contrastive2022.01 | 56.5 | 1.6 | |
| GCALearning Paradigm=Contrastive + Augmentation2022.01 | 55.7 | 1.9 | |
| DeepWalkLearning Paradigm=Contrastive2022.01 | 45.6 | 2 |