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Shangyuan Liu

2 accepted papers

2025

Network Games Induced Prior for Graph Topology Learning

ICASSP 2025accepted

Learning the graph topology of a complex network is challenging due to limited data availability and imprecise data models. A common remedy in existing works is to incorporate priors such as sparsity or modularity which highlight on the structural property of graph topology. We depart from these app…

Cited by 0SourceScholar
2023

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

NeurIPS 2023poster

Graph learning from signals is a core task in graph signal processing (GSP). A significant subclass of graph signals called the stationary graph signals that broadens the concept of stationarity of data defined on regular domains to signals on graphs is gaining increasing popularity in the GSP commu…

Cited by 1SourcePDFScholar