Locally Stationary Graph Processes

arXiv:2309.01657v2 Announce Type: replace-cross
Abstract: 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 graph signals with a single stationary process model that is globally valid on the entire graph, in many practical problems, the characteristics of the process may be subject to local variations in different regions of the graph. In this work, we propose a locally stationary graph process (LSGP) …

abstract analysis arxiv cs.lg data data sets graph inference network practical process processes stat.ml type