Node Classification on Pubmed public (test)
81.6AccuracyCCA-SSG
Evaluation results
| Method | Links | |
|---|---|---|
| CCA-SSGLearning paradigm=Unsupervised, Input=X, A, Evaluation protocol=Linear evaluation2021.06 | 81.6 | |
| GRACELearning paradigm=Unsupervised, Input=X, A, Evaluation protocol=Linear evaluation2021.06 | 80.6 | |
| MVGRLLearning paradigm=Unsupervised, Input=X, S, A, Evaluation protocol=Linear evaluation2021.06 | 80.1 | |
| GCNLearning paradigm=Supervised, Input=X, A, Y2021.06 | 79 | |
| GATLearning paradigm=Supervised, Input=X, A, Y2021.06 | 79 | |
| DGILearning paradigm=Unsupervised, Input=X, A, Evaluation protocol=Linear evaluation2021.06 | 76.8 | |
| Linear CCALearning paradigm=Unsupervised, Input=X, Evaluation protocol=Linear evaluation2021.06 | 75.8 | |
| DeepWalkLearning paradigm=Unsupervised, Input=A, Evaluation protocol=Linear evaluation2021.06 | 74.3 | |
| GAELearning paradigm=Unsupervised, Input=X, A, Evaluation protocol=Linear evaluation2021.06 | 72.1 | |
| MLPLearning paradigm=Supervised, Input=X, Y2021.06 | 71.4 | |
| Raw FeaturesLearning paradigm=Unsupervised, Input=X, Evaluation protocol=Linear evaluation2021.06 | 69.1 | |
| LPLearning paradigm=Supervised, Input=A, Y2021.06 | 63 |