Node Classification on FMA (test)
39.7AccuracykNN-LDS
Evaluation results
| Method | Links | |
|---|---|---|
| kNN-LDSgraph=kNN, structure_learning=LDS2019.03 | 39.7 | |
| RBF SVM2019.03 | 38.3 | |
| RF2019.03 | 37.9 | |
| kNN-GCNgraph=kNN2019.03 | 37.8 | |
| LogReg2019.03 | 37.3 | |
| Linear SVM2019.03 | 35.7 | |
| Dense-GCNgraph=dense2019.03 | 34.5 | |
| ManiReg2019.03 | 34.2 | |
| SemiEmb2019.03 | 34.1 | |
| RBF-GCNgraph=RBF2019.03 | 33.7 | |
| FFNN2019.03 | 33.2 | |
| Sparse-GCNgraph=sparse2019.03 | 23.4 | |
| LP2019.03 | 14.1 |