Graph Signal Processing for Directed Graphs Based on the Hermitian Laplacian
european conference on principles of data mining and knowledge discovery, pp. 447-463, 2019.
Graph signal processing is a useful tool for representing, analyzing, and processing the signal lying on a graph, and has attracted attention in several fields including data mining and machine learning. A key to construct the graph signal processing is the graph Fourier transform, which is defined by using eigenvectors of the graph Lapla...More
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