Reference : GraphPrior: Mutation-based Test Input Prioritization for Graph Neural Networks

	Document type :	Scientific journals : Article
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Security, Reliability and Trust
	To cite this reference:	http://hdl.handle.net/10993/56068

Title :	GraphPrior: Mutation-based Test Input Prioritization for Graph Neural Networks
Language :	English
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]
	Bissyandé, 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]
Publication date :	4-Jul-2023
Journal title :	ACM Transactions on Software Engineering and Methodology
Publisher :	Association for Computing Machinery (ACM)
Peer reviewed :	Yes
Country :	United States
Keywords :	[en] Test Input Prioritization ; Graph Neural Networks ; Mutation
Funders :	Fonds National de la Recherche - FnR ; European Research Council
Target :	Researchers ; Professionals ; Students
Permalink :	http://hdl.handle.net/10993/56068
DOI :	10.1145/3607191
Other URL :	https://doi.org/10.1145/3607191
Framework Programme / European Project :	H2020 ; 949014 - NATURAL - Natural Program Repair
FnR project :	FnR ; FNR17036341 > Xueqi Dang > GNNRobustStudy > Towards Improving The Robustness Of Graph Neural Network Models: An Empirical Study > 01/08/2022 > 31/08/2024 > 2022

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