Article (Scientific journals)
GraphPrior: Mutation-based Test Input Prioritization for Graph Neural Networks
DANG, Xueqi; LI, Yinghua; PAPADAKIS, Mike et al.
2023In ACM Transactions on Software Engineering and Methodology
Peer Reviewed verified by ORBi
 

Files


Full Text
2023_TOSEM_GraphPrior.pdf
Publisher postprint (676.09 kB)
Download

All documents in ORBilu are protected by a user license.

Send to



Details



Keywords :
Test Input Prioritization; Graph Neural Networks; Mutation
Disciplines :
Computer science
Author, co-author :
DANG, Xueqi  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SerVal
LI, Yinghua  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > TruX
PAPADAKIS, Mike ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SerVal
KLEIN, Jacques  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > TruX
BISSYANDE, Tegawendé François d Assise  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > TruX
LE TRAON, Yves ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SerVal
External co-authors :
no
Language :
English
Title :
GraphPrior: Mutation-based Test Input Prioritization for Graph Neural Networks
Publication date :
04 July 2023
Journal title :
ACM Transactions on Software Engineering and Methodology
ISSN :
1049-331X
Publisher :
Association for Computing Machinery (ACM), United States
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Security, Reliability and Trust
European Projects :
H2020 - 949014 - NATURAL - Natural Program Repair
FnR Project :
FNR17036341 > Xueqi Dang > GNNRobustStudy > Towards Improving The Robustness Of Graph Neural Network Models: An Empirical Study > 01/08/2022 > 31/08/2024 > 2022
Funders :
FNR - Fonds National de la Recherche
CER - Conseil Européen de la Recherche
CE - Commission Européenne
Union Européenne
Available on ORBilu :
since 23 October 2023

Statistics


Number of views
236 (34 by Unilu)
Number of downloads
80 (3 by Unilu)

Scopus citations®
 
18
Scopus citations®
without self-citations
11
OpenAlex citations
 
18

Bibliography


Similar publications



Contact ORBilu