Multi-label Classification on POS
53.92Micro-F1Caps2NE
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Caps2NETraining fraction (γ)=90%2019.11 | 53.92 | 14.11 | |
| LINETraining fraction (γ)=90%2019.11 | 52.28 | 12.4 | |
| LINETraining fraction (γ)=50%2019.11 | 51.64 | 12.43 | |
| Caps2NETraining fraction (γ)=50%2019.11 | 50.93 | 13.16 | |
| EP-BTraining fraction (γ)=90%2019.11 | 50.05 | 12.17 | |
| Node2VecTraining fraction (γ)=90%2019.11 | 49.73 | 12.11 | |
| EP-BTraining fraction (γ)=50%2019.11 | 49.52 | 10.45 | |
| DeepWalkTraining fraction (γ)=90%2019.11 | 49.33 | 12.23 | |
| DeepWalkTraining fraction (γ)=50%2019.11 | 49.1 | 10.84 | |
| Node2VecTraining fraction (γ)=50%2019.11 | 48.73 | 11.07 | |
| EP-BTraining fraction (γ)=10%2019.11 | 46.97 | 8.85 | |
| Caps2NETraining fraction (γ)=10%2019.11 | 46.01 | 9.71 | |
| LINETraining fraction (γ)=10%2019.11 | 45.22 | 8.49 | |
| DeepWalkTraining fraction (γ)=10%2019.11 | 45.02 | 8.2 | |
| Node2VecTraining fraction (γ)=10%2019.11 | 44.66 | 8.32 |