LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees

Shangyuan Liu, Linglingzhi Zhu, Anthony Man-Cho So

Graph learning from signals is a core task in Graph Signal Processing (GSP). One of the most commonly used models to learn graphs from stationary signals is SpecT. However, its pra…