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eess.SP2024
Edge Sampling of Graphs: Graph Signal Processing Approach With Edge Smoothness
Kenta Yanagiya, Koki Yamada, Yasuo Katsuhara +2
Finding important edges in a graph is a crucial problem for various research fields, such as network epidemics, signal processing, machine learning, and sensor networks. In this pa…
eess.SP2024
Lossy Compression of Adjacency Matrices by Graph Filter Banks
Kenta Yanagiya, Junya Hara, Hiroshi Higashi +2
This paper proposes a compression framework for adjacency matrices of weighted graphs based on graph filter banks. Adjacency matrices are widely used mathematical representations o…