Kenta Yanagiya

2 accepted papers

2024

Lossy Compression of Adjacency Matrices by Graph Filter Banks

Kenta Yanagiya, Junya Hara, Hiroshi Higashi, Yuichi Tanaka, Antonio Ortega

ICASSP 2024accepted

This paper proposes a compression framework for adjacency matrices of weighted graphs based on graph filter banks. Adjacency matrices are widely used mathematical representations of graphs and are used in various applications in signal processing, machine learning, and data mining. In many problems…

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2022

Edge Sampling of Graphs Based on Edge Smoothness

Kenta Yanagiya, Koki Yamada, Yasuo Katsuhara, Tomoya Takatani, Yuichi Tanaka

ICASSP 2022accepted

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 paper, we tackle the problem based on sampling theory on graphs. We convert the original graph to a line graph where its no…

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