Text Classification on Citeseer (test)
0.699AccuracyIntersection
Evaluation Results
| Method | Links | |
|---|---|---|
| IntersectionLabels per class=202018.01 | 0.699 | |
| ICALabels per class=202018.01 | 0.691 | |
| GCN+VLabels per class=202018.01 | 0.689 | |
| GCN-VLabels per class=202018.01 | 0.681 | |
| Self-trainingLabels per class=202018.01 | 0.678 | |
| UnionLabels per class=202018.01 | 0.657 | |
| PLANETOID-ILearning paradigm=Inductive2016.03 | 0.647 | |
| PlanetoidLabels per class=202018.01 | 0.647 | |
| TSVMLearning paradigm=Transductive2016.03 | 0.64 | |
| Co-trainingLabels per class=202018.01 | 0.64 | |
| PLANETOID-TLearning paradigm=Transductive2016.03 | 0.629 | |
| MANIREGLearning paradigm=Inductive2016.03 | 0.601 | |
| ManiRegLabels per class=202018.01 | 0.601 | |
| SEMIEMBLearning paradigm=Inductive2016.03 | 0.596 | |
| SemiEmbLabels per class=202018.01 | 0.596 | |
| FEATLearning paradigm=Inductive2016.03 | 0.572 | |
| PLANETOID-GLearning paradigm=Transductive2016.03 | 0.493 | |
| LPLearning paradigm=Transductive2016.03 | 0.453 | |
| LPLabels per class=202018.01 | 0.453 | |
| GRAPHEMBLearning paradigm=Transductive2016.03 | 0.432 | |
| DeepWalkLabels per class=202018.01 | 0.432 |