Search Results for author:
Found 1 papers, 0 papers with code
Distributed Graph Learning with Smooth Data Priors
We propose here a novel distributed graph learning algorithm, which permits to infer a graph from signal observations on the nodes under the assumption that the data is smooth on the target graph.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
