Xingchao Jian

Graph Distribution-valued Signals in Wasserstein Spaces: Theory and Applications

Yanan Zhao, Feng Ji, Xingchao Jian, Wee Peng Tay

We introduce a framework for graph signal processing (GSP) in which signals are represented as graph distribution-valued signals (GDSs), i.e., probability measures in a Wasserstein space. This perspective addresses fundamental limitations of classical vector-based GSP, including…Read more