Optimization framework that provably recovers product graphs from two-dimensional graph-stationary signals with improved accuracy on synthetic data.
Signal process- ing over time-varying graphs: A systematic review,
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Tutorial on TSP foundations via the combinatorial Hodge Laplacian with an illustrative application to edge signals in brain imaging data.
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Learning Product Graphs from Two-dimensional Stationary Signals
Optimization framework that provably recovers product graphs from two-dimensional graph-stationary signals with improved accuracy on synthetic data.
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Topological Signal Processing: An Application-Oriented Tutorial
Tutorial on TSP foundations via the combinatorial Hodge Laplacian with an illustrative application to edge signals in brain imaging data.