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Paper Abstract and Keywords
Presentation 2025-07-30 11:15
Graph Node Partitioning based on Graph Signal Sampling Theory
Ryosuke Ikura, Junya Hara, Hiroshi Higashi, Yuichi Tanaka (UOsaka) SeMI2025-20
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes a partitioning method for nodes of a graph based on sampling theory for graph signals. In sensor network applications, we may need multiple informative subsets to make a sensor network robust against battery consumption and sensor failures. In this paper, we aim to minimize the average reconstruction error for all node subsets, in contrast to a conventional single subset selection.
Based on the subspace prior of graph signals, we obtain multiple equally-informative subsets that minimize the average reconstruction error across all subsets. The node partitioning problem is formulated as a difference-of-convex (DC) optimization and is solved by the proximal DC algorithm. It guarantees convergence to, at least, a local optimum. Numerical experiments on synthetic sensor network data demonstrate that the proposed method achieves lower average mean squared errors compared to alternative methods.
Keyword (in Japanese) (See Japanese page) 
(in English) Sensor Network / Graph Signal Processing / Sampling Thoery / DC optimization / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 135, SeMI2025-20, pp. 19-24, July 2025.
Paper # SeMI2025-20 
Date of Issue 2025-07-23 (SeMI) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF SeMI2025-20

Conference Information
Committee SR RCS RCC SeMI NS RISING HCL  
Conference Date 2025-07-30 - 2025-08-01 
Place (in Japanese) (See Japanese page) 
Place (in English) MALIOS 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SeMI 
Conference Code 2025-07-SR-RCS-RCC-SeMI-NS-RISING-HCL 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Graph Node Partitioning based on Graph Signal Sampling Theory 
Sub Title (in English)  
Keyword(1) Sensor Network  
Keyword(2) Graph Signal Processing  
Keyword(3) Sampling Thoery  
Keyword(4) DC optimization  
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1st Author's Name Ryosuke Ikura  
1st Author's Affiliation The University of Osaka (UOsaka)
2nd Author's Name Junya Hara  
2nd Author's Affiliation The University of Osaka (UOsaka)
3rd Author's Name Hiroshi Higashi  
3rd Author's Affiliation The University of Osaka (UOsaka)
4th Author's Name Yuichi Tanaka  
4th Author's Affiliation The University of Osaka (UOsaka)
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Speaker Author-1 
Date Time 2025-07-30 11:15:00 
Presentation Time 25 minutes 
Registration for SeMI 
Paper # SeMI2025-20 
Volume (vol) vol.125 
Number (no) no.135 
Page pp.19-24 
#Pages 6 
Date of Issue 2025-07-23 (SeMI) 

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