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Paper Abstract and Keywords
Presentation 2023-01-19 10:00
A Learning-Based Accurate Graph Reconstruction Model with Deep Learning
Takahiro Yokoyama, Yoshiki Sato (Nagaoka Univ. of Tech.), Sho Tsugawa (Univ. Tsukuba), Kohei Watabe (Nagaoka Univ. of Tech.) IN2022-52
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, there has been an increasing interest in developing models for learning and generating graphs using deep learning techniques. We developed graph generation model focusing on new aspects of graphs and compared it with baselines. The results showed that our proposed model outperforms the baseline on several indices.
Keyword (in Japanese) (See Japanese page) 
(in English) Network / Graph / Conditional VAE / LSTM / Conditional generation / Machine learning / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 342, IN2022-52, pp. 1-6, Jan. 2023.
Paper # IN2022-52 
Date of Issue 2023-01-12 (IN) 
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 IN2022-52

Conference Information
Committee IN  
Conference Date 2023-01-19 - 2023-01-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Aichi Industry & Labor Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Contents Distribution, Social Networking Services, Data Analytics and Processing Platform, Big data, etc. 
Paper Information
Registration To IN 
Conference Code 2023-01-IN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Learning-Based Accurate Graph Reconstruction Model with Deep Learning 
Sub Title (in English)  
Keyword(1) Network  
Keyword(2) Graph  
Keyword(3) Conditional VAE  
Keyword(4) LSTM  
Keyword(5) Conditional generation  
Keyword(6) Machine learning  
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Keyword(8)  
1st Author's Name Takahiro Yokoyama  
1st Author's Affiliation Nagaoka University of Technology (Nagaoka Univ. of Tech.)
2nd Author's Name Yoshiki Sato  
2nd Author's Affiliation Nagaoka University of Technology (Nagaoka Univ. of Tech.)
3rd Author's Name Sho Tsugawa  
3rd Author's Affiliation University of Tsukuba (Univ. Tsukuba)
4th Author's Name Kohei Watabe  
4th Author's Affiliation Nagaoka University of Technology (Nagaoka Univ. of Tech.)
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Speaker Author-1 
Date Time 2023-01-19 10:00:00 
Presentation Time 25 minutes 
Registration for IN 
Paper # IN2022-52 
Volume (vol) vol.122 
Number (no) no.342 
Page pp.1-6 
#Pages 6 
Date of Issue 2023-01-12 (IN) 

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