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Paper Abstract and Keywords
Presentation 2022-01-18 13:00
Local Explanation of Graph Neural Network through Predictive Graph Mining
Hinata Asahi, Masayuki Karasuyama (NIT) IBISML2021-23
Abstract (in Japanese) (See Japanese page) 
(in English) Graph Neural Networks (GNNs) have attracted wide attention in the data science community. However, predictions of GNNs are difficult to interpret because of its complicated network architectures and nonlinear transformations. In this paper, we propose a method that extracts local interpretations of a GNN by locally applying “Predictive Graph Mining (PGM)” to the outputs of the GNN around an arbitrary given graph of interest. PGM is a sparse learning method that efficiently identifies important subgraphs for predictions, by which we can obtain locally important subgraphs in the GNN. In our experiments, we demonstrate that our proposed method can extract interpretable subgraphs for GNNs using several benchmark datasets.
Keyword (in Japanese) (See Japanese page) 
(in English) Graph Neural Network / Predictive Graph Mining / Interpretability / / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 321, IBISML2021-23, pp. 37-44, Jan. 2022.
Paper # IBISML2021-23 
Date of Issue 2022-01-10 (IBISML) 
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 IBISML2021-23

Conference Information
Committee IBISML  
Conference Date 2022-01-17 - 2022-01-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Machine Learning, etc. 
Paper Information
Registration To IBISML 
Conference Code 2022-01-IBISML 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Local Explanation of Graph Neural Network through Predictive Graph Mining 
Sub Title (in English)  
Keyword(1) Graph Neural Network  
Keyword(2) Predictive Graph Mining  
Keyword(3) Interpretability  
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1st Author's Name Hinata Asahi  
1st Author's Affiliation Nagoya Institute of Technology (NIT)
2nd Author's Name Masayuki Karasuyama  
2nd Author's Affiliation Nagoya Institute of Technology (NIT)
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Speaker Author-1 
Date Time 2022-01-18 13:00:00 
Presentation Time 20 minutes 
Registration for IBISML 
Paper # IBISML2021-23 
Volume (vol) vol.121 
Number (no) no.321 
Page pp.37-44 
#Pages 8 
Date of Issue 2022-01-10 (IBISML) 

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