Graph Classification on COLLAB (Accuracy and Average Rank)
73.1AccuracyMVGRL
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MVGRLLearning Protocol=unsupervised representation learning, Evaluation Protocol=linear evaluation protocol, Cross-Validation=10-fold2025.10 | 73.1 | 8.85 | |
| MGCLLearning Protocol=unsupervised representation learning, Evaluation Protocol=linear evaluation protocol, Cross-Validation=10-fold2025.10 | 72.28 | 1.42 | |
| AD-GCLLearning Protocol=unsupervised representation learning, Evaluation Protocol=linear evaluation protocol, Cross-Validation=10-fold2025.10 | 72 | 7.28 | |
| simGRACELearning Protocol=unsupervised representation learning, Evaluation Protocol=linear evaluation protocol, Cross-Validation=10-fold2025.10 | 71.7 | 4.14 | |
| AutoGCLLearning Protocol=unsupervised representation learning, Evaluation Protocol=linear evaluation protocol, Cross-Validation=10-fold2025.10 | 71.4 | 7.14 | |
| GraphCLLearning Protocol=unsupervised representation learning, Evaluation Protocol=linear evaluation protocol, Cross-Validation=10-fold2025.10 | 71.36 | 6.42 | |
| RGCLLearning Protocol=unsupervised representation learning, Evaluation Protocol=linear evaluation protocol, Cross-Validation=10-fold2025.10 | 71 | 4.71 | |
| InfoGraphLearning Protocol=unsupervised representation learning, Evaluation Protocol=linear evaluation protocol, Cross-Validation=10-fold2025.10 | 70.65 | 7 | |
| DRGCLLearning Protocol=unsupervised representation learning, Evaluation Protocol=linear evaluation protocol, Cross-Validation=10-fold2025.10 | 70.6 | 3.57 | |
| JOAOLearning Protocol=unsupervised representation learning, Evaluation Protocol=linear evaluation protocol, Cross-Validation=10-fold2025.10 | 69.5 | 7.85 | |
| JOAOv2Learning Protocol=unsupervised representation learning, Evaluation Protocol=linear evaluation protocol, Cross-Validation=10-fold2025.10 | 69.33 | 7.28 |