Locally Stationary Graph Processes

no code implementations • 4 Sep 2023 • Abdullah Canbolat, Elif Vural

In this work, we propose a locally stationary graph process (LSGP) model that aims to extend the classical concept of local stationarity to irregular graph domains.

valid

Learning Graph ARMA Processes from Time-Vertex Spectra

1 code implementation • 14 Feb 2023 • Eylem Tugce Guneyi, Berkay Yaldiz, Abdullah Canbolat, Elif Vural

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 patterns of the process across different graph nodes and time instants.