Transductive Node Classification on Citeseer 5 labels per class
67.9AccuracyCOLES-GCN (Stiefel)
Evaluation results
| Method | Links | ||
|---|---|---|---|
| COLES-GCN (Stiefel)Learning Paradigm=Contrastive2022.01 | 67.9 | 2.3 | |
| COLES-S^2GCLearning Paradigm=Contrastive2022.01 | 67.5 | 2.2 | |
| COLES-GCN (+Aug)Learning Paradigm=Contrastive + Augmentation2022.01 | 66.7 | 2.3 | |
| COLES-GCNLearning Paradigm=Contrastive2022.01 | 66 | 2.6 | |
| DGILearning Paradigm=Contrastive2022.01 | 65.7 | 3.6 | |
| GraphCLLearning Paradigm=Contrastive + Augmentation2022.01 | 65.6 | 3 | |
| SCELearning Paradigm=Contrastive2022.01 | 65.4 | 2.9 | |
| GRACELearning Paradigm=Contrastive + Augmentation2022.01 | 61.8 | 3.9 | |
| PCA-S^2GCLearning Paradigm=Unsupervised2022.01 | 61 | 3.5 | |
| Graph2GaussLearning Paradigm=Contrastive2022.01 | 60.7 | 3.5 | |
| S^2GCLearning Paradigm=Unsupervised2022.01 | 60.3 | 4 | |
| SGCLearning Paradigm=Unsupervised2022.01 | 59.5 | 3.4 | |
| GCNLearning Paradigm=Semi-supervised2022.01 | 57.7 | 4.7 | |
| GATLearning Paradigm=Semi-supervised2022.01 | 54.9 | 5 | |
| MixHopLearning Paradigm=Semi-supervised2022.01 | 54.5 | 4.3 | |
| RP-S^2GCLearning Paradigm=Unsupervised2022.01 | 51.4 | 3.2 | |
| SAGE with SampledNCELearning Paradigm=Contrastive2022.01 | 48 | 3.5 | |
| GCALearning Paradigm=Contrastive + Augmentation2022.01 | 43.2 | 3.6 | |
| GCN with SampledNCELearning Paradigm=Contrastive2022.01 | 42.3 | 3.4 | |
| DeepWalkLearning Paradigm=Contrastive2022.01 | 38.3 | 2.9 |