Node Classification on PPI (Micro-F1 and Macro-F1)
25.28Micro F1LINE
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| LINETraining fraction (γ)=90%2019.11 | 25.28 | 20.59 | |
| Caps2NETraining fraction (γ)=90%2019.11 | 25.08 | 20.27 | |
| DeepWalkTraining fraction (γ)=90%2019.11 | 25.02 | 20.01 | |
| Node2VecTraining fraction (γ)=90%2019.11 | 24.75 | 19.66 | |
| EP-BTraining fraction (γ)=90%2019.11 | 24.74 | 20.36 | |
| DeepWalkTraining fraction (γ)=50%2019.11 | 23.52 | 18.73 | |
| Node2VecTraining fraction (γ)=50%2019.11 | 23.31 | 18.57 | |
| EP-BTraining fraction (γ)=50%2019.11 | 23.3 | 18.96 | |
| Caps2NETraining fraction (γ)=50%2019.11 | 23.15 | 19.63 | |
| LINETraining fraction (γ)=50%2019.11 | 23.01 | 18.06 | |
| NodeSketchParameter Tuning Strategy=Tuned for each dataset2019.12 | 21.04 | 15.55 | |
| DAORParameter Tuning Strategy=Parameter-free2019.12 | 19.07 | 13.94 | |
| NetHashParameter Tuning Strategy=Tuned for each dataset2019.12 | 18.85 | 12.91 | |
| Caps2NETraining fraction (γ)=10%2019.11 | 18.52 | 15.2 | |
| EP-BTraining fraction (γ)=10%2019.11 | 17.82 | 13.8 | |
| DeepWalkParameter Tuning Strategy=Tuned once for all datasets2019.12 | 17.24 | 10.28 | |
| DeepWalkTraining fraction (γ)=10%2019.11 | 17.14 | 13.01 | |
| Node2VecTraining fraction (γ)=10%2019.11 | 17 | 13.32 | |
| LINETraining fraction (γ)=10%2019.11 | 16.55 | 12.79 | |
| Node2VecParameter Tuning Strategy=Tuned for each dataset2019.12 | 16.04 | 9.57 | |
| VERSEParameter Tuning Strategy=Tuned once for all datasets2019.12 | 15.9 | 9.76 | |
| INH-MF2019.12 | 15.5 | 9.55 | |
| HARP-DWalkMeta technique=HARP2019.12 | 15.46 | 9.04 | |
| NetMFParameter Tuning Strategy=Tuned for each dataset2019.12 | 15.03 | 8.74 | |
| LINE2019.12 | 15.01 | 8.7 | |
| HOPEParameter Tuning Strategy=Tuned for each dataset2019.12 | 14.69 | 8.13 | |
| HARP-LINEMeta technique=HARP2019.12 | 12.67 | 6.25 | |
| DAOCParameter Tuning Strategy=Parameter-free2019.12 | 12.56 | 7.25 | |
| GraRepParameter Tuning Strategy=Tuned for each dataset2019.12 | 5.83 | 1.52 |