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Paper Abstract and Keywords
Presentation 2025-07-03 09:00
[Poster Presentation] Study on the Applicability of Graph Reduction to GNN -- Focusing on the Effect of Node Attribute --
Tomoya Matoba, Ryotaro Matsuo, Ryo Nakamura (Fukuoka Univ.) CQ2025-21
Abstract (in Japanese) (See Japanese page) 
(in English) This paper reports recent progress in our research on the applicability of graph reduction to Graph Neural Networks (GNNs). This research aims at improving the training efficiency of GNNs through graph reduction. In the literature, we have investigated the effect of graph reduction on the inference accuracy of GNNs. In this paper, we focus on node attributes in a graph, i.e., attributed graph, and present a preliminary evaluation for non-attributed graphs.
Keyword (in Japanese) (See Japanese page) 
(in English) Graph Reduction / GNN (Graph Neural Network) / Attributed Graph / / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 94, CQ2025-21, pp. 38-39, July 2025.
Paper # CQ2025-21 
Date of Issue 2025-06-25 (CQ) 
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 CQ2025-21

Conference Information
Committee CQ  
Conference Date 2025-07-02 - 2025-07-04 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) network performance, virtual environment/metaverse, graph analysis, game theory, machine learning, interaction, social media, etc. 
Paper Information
Registration To CQ 
Conference Code 2025-07-CQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Study on the Applicability of Graph Reduction to GNN 
Sub Title (in English) Focusing on the Effect of Node Attribute 
Keyword(1) Graph Reduction  
Keyword(2) GNN (Graph Neural Network)  
Keyword(3) Attributed Graph  
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1st Author's Name Tomoya Matoba  
1st Author's Affiliation Fukuoka University (Fukuoka Univ.)
2nd Author's Name Ryotaro Matsuo  
2nd Author's Affiliation Fukuoka University (Fukuoka Univ.)
3rd Author's Name Ryo Nakamura  
3rd Author's Affiliation Fukuoka University (Fukuoka Univ.)
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Speaker Author-1 
Date Time 2025-07-03 09:00:00 
Presentation Time 75 minutes 
Registration for CQ 
Paper # CQ2025-21 
Volume (vol) vol.125 
Number (no) no.94 
Page pp.38-39 
#Pages 2 
Date of Issue 2025-06-25 (CQ) 

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