Information: Join today and make your research activities more affordable! Technical workshop participation fees and annual registration fees are available at member rates.
Notice: [Important] Announcement of Changes to Registration Fee Payment and Manuscript Upload Procedures for IEICE Technical Meetings
IEICE Technical Committee Submission System
Conference Paper's Information		 Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2026-01-26 10:10
A Preliminary Study on the Predictive Performance of Graph Transformer
Ryo Nakamura (Fukuoka Univ.) CQ2025-76
Abstract (in Japanese) (See Japanese page) 
(in English) Motivated by the success of Transformers in large language models, the introduction of Transformers into graph-based machine learning has been advancing. Indeed, a variety of architectures referred to as Graph Transformers have been proposed, and it has been reported that Graph Transformers are effective for learning graph representations compared with Graph Neural Networks (GNNs). In light of these trends, the author has begun exploring the potential of Graph Transformers. This paper reports the current status of this investigation. More specifically, we provide an overview of Graph Transformers. In addition, we examine their predictive performance through a simple evaluation. In particular, we focus on a task, graph classification, which predicts the label, i.e., class, of a given graph, and evaluate the prediction accuracy of Graph Transformers. As a result, we demonstrate that Graph Transformers can distinguish between random graphs and graphs with scale-free properties. Finally, we discuss challenges related to Graph Transformers.
Keyword (in Japanese) (See Japanese page) 
(in English) Graph Transformer / GNN (Graph Neural Network) / Graph Representation Learning / / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 335, CQ2025-76, pp. 13-16, Jan. 2026.
Paper # CQ2025-76 
Date of Issue 2026-01-19 (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 CQ2025-76

Conference Information
Committee CQ CBE  
Conference Date 2026-01-26 - 2026-01-27 
Place (in Japanese) (See Japanese page) 
Place (in English) The Beppu Chamber of Commerce and Industry 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Network Science, Computational Social Science, Human Computer Interaction, Data Analysis, User Behaviour, Media Quality, etc. 
Paper Information
Registration To CQ 
Conference Code 2026-01-CQ-CBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Preliminary Study on the Predictive Performance of Graph Transformer 
Sub Title (in English)  
Keyword(1) Graph Transformer  
Keyword(2) GNN (Graph Neural Network)  
Keyword(3) Graph Representation Learning  
Keyword(4)  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Ryo Nakamura  
1st Author's Affiliation Fukuoka University (Fukuoka Univ.)
2nd Author's Name  
2nd Author's Affiliation ()
3rd Author's Name  
3rd Author's Affiliation ()
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
21st Author's Name  
21st Author's Affiliation ()
22nd Author's Name  
22nd Author's Affiliation ()
23rd Author's Name  
23rd Author's Affiliation ()
24th Author's Name  
24th Author's Affiliation ()
25th Author's Name  
25th Author's Affiliation ()
26th Author's Name / /
26th Author's Affiliation ()
()
27th Author's Name / /
27th Author's Affiliation ()
()
28th Author's Name / /
28th Author's Affiliation ()
()
29th Author's Name / /
29th Author's Affiliation ()
()
30th Author's Name / /
30th Author's Affiliation ()
()
31st Author's Name / /
31st Author's Affiliation ()
()
32nd Author's Name / /
32nd Author's Affiliation ()
()
33rd Author's Name / /
33rd Author's Affiliation ()
()
34th Author's Name / /
34th Author's Affiliation ()
()
35th Author's Name / /
35th Author's Affiliation ()
()
36th Author's Name / /
36th Author's Affiliation ()
()
Speaker Author-1 
Date Time 2026-01-26 10:10:00 
Presentation Time 20 minutes 
Registration for CQ 
Paper # CQ2025-76 
Volume (vol) vol.125 
Number (no) no.335 
Page pp.13-16 
#Pages 4 
Date of Issue 2026-01-19 (CQ) 

[Return to Top Page]

[Return to IEICE Web Page]
The Institute of Electronics, Information and Communication Engineers (IEICE), Japan