1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ML2023
Locally Stationary Graph Processes
Abdullah Canbolat, Elif Vural
Stationary graph process models are commonly used in the analysis and inference of data sets collected on irregular network topologies. While most of the existing methods represent…
stat.ML2023★ 1 cited
Learning Graph ARMA Processes from Time-Vertex Spectra
Eylem Tugce Guneyi, Berkay Yaldiz, Abdullah Canbolat +1
The modeling of time-varying graph signals as stationary time-vertex stochastic processes permits the inference of missing signal values by efficiently employing the correlation pa…