Table 1 Comparison between proposed method TGSm-St-GL and alternative
From: Time-varying graph learning from smooth and stationary graph signals with hidden nodes
Graph type | Method | Approach | Hidden nodes |
|---|---|---|---|
Static graph | GS-Rw [25] | Signal stationarity model | \(\checkmark\) |
GSm-St-GL [26] | Signal smoothness and stationarity model | \(\checkmark\) | |
Time-varying graph | TGSm-St-GL (proposed) | Signal smoothness and stationarity model | \(\checkmark\) |
TVGL-TS [33] | Signal smoothness model | – | |
TVGL-SV [34] | Signal smoothness model | – | |
TVGL [35] | Graphical lasso-based model | – | |
Multi-layer graphs | PGL [27] | Signal stationarity model | \(\checkmark\) |