Node Classification on Cora public (test)
84.2AccuracyCCA-SSG
Evaluation results
| Method | Links | |
|---|---|---|
| CCA-SSGLearning paradigm=Unsupervised, Input=X, A, Evaluation protocol=Linear evaluation2021.06 | 84.2 | |
| MVGRLLearning paradigm=Unsupervised, Input=X, S, A, Evaluation protocol=Linear evaluation2021.06 | 83.5 | |
| GATLearning paradigm=Supervised, Input=X, A, Y2021.06 | 83 | |
| DGILearning paradigm=Unsupervised, Input=X, A, Evaluation protocol=Linear evaluation2021.06 | 82.3 | |
| GRACELearning paradigm=Unsupervised, Input=X, A, Evaluation protocol=Linear evaluation2021.06 | 81.9 | |
| GCNLearning paradigm=Supervised, Input=X, A, Y2021.06 | 81.5 | |
| GAELearning paradigm=Unsupervised, Input=X, A, Evaluation protocol=Linear evaluation2021.06 | 71.5 | |
| DeepWalkLearning paradigm=Unsupervised, Input=A, Evaluation protocol=Linear evaluation2021.06 | 70.7 | |
| LPLearning paradigm=Supervised, Input=A, Y2021.06 | 68 | |
| Linear CCALearning paradigm=Unsupervised, Input=X, Evaluation protocol=Linear evaluation2021.06 | 58.9 | |
| MLPLearning paradigm=Supervised, Input=X, Y2021.06 | 55.1 | |
| Raw FeaturesLearning paradigm=Unsupervised, Input=X, Evaluation protocol=Linear evaluation2021.06 | 47.9 |