Xingchao Jian

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

By modeling the graph structure as a distribution conditioned on signal realizations, this framework provides a principled approach to signal-dependent graph structures, which are common in real-world applications, while explicitly encoding uncertainty in graph topology.