55 citations · 147 across the 9 of their papers we have counts for
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cs.LG2018
Graph Learning from Filtered Signals: Graph System and Diffusion Kernel Identification
Hilmi E. Egilmez, Eduardo Pavez, Antonio Ortega
This paper introduces a novel graph signal processing framework for building graph-based models from classes of filtered signals. In our framework, graph-based modeling is formulat…
cs.LG2016★ 26 cited
Graph Learning from Data under Structural and Laplacian Constraints
Hilmi E. Egilmez, Eduardo Pavez, Antonio Ortega
Graphs are fundamental mathematical structures used in various fields to represent data, signals and processes. In this paper, we propose a novel framework for learning/estimating…