Node Classification on Wine (test)
97.3AccuracykNN-LDS
Evaluation results
| Method | Links | |
|---|---|---|
| kNN-LDSgraph=kNN, structure_learning=LDS2019.03 | 97.3 | |
| RBF SVM2019.03 | 94.1 | |
| Linear SVM2019.03 | 93.9 | |
| RF2019.03 | 93.7 | |
| kNN-GCNgraph=kNN2019.03 | 93.2 | |
| LogReg2019.03 | 92.1 | |
| SemiEmb2019.03 | 91.9 | |
| Dense-GCNgraph=dense2019.03 | 90.6 | |
| RBF-GCNgraph=RBF2019.03 | 90.6 | |
| ManiReg2019.03 | 90.5 | |
| LP2019.03 | 89.8 | |
| FFNN2019.03 | 89.7 | |
| Sparse-GCNgraph=sparse2019.03 | 63.5 |