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1
FairUP: A Framework for Fairness Analysis of Graph Neural N..:
, In:
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
,
Abdelrazek, Mohamed
;
Purificato, Erasmo
;
Boratto, Ludovico
. - p. 3165-3169 , 2023
Link:
https://dl.acm.org/doi/10.1145/3539618.3591814
RT T1 <cTitle>Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval</cTitle>: T1 <Title>FairUP: A Framework for Fairness Analysis of Graph Neural Network-Based User Profiling Models</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3591814&Exemplar=1&LAN=DE A1 Abdelrazek, Mohamed A1 Purificato, Erasmo A1 Boratto, Ludovico A1 De Luca, Ernesto William PB ACM YR 2023 K1 algorithmic fairness K1 graph neural networks K1 user profiling K1 Human-centered computing K1 Human computer interaction (HCI) K1 HCI design and evaluation methods K1 User models K1 Applied computing K1 Law, social and behavioral sciences K1 Social and professional topics K1 User characteristics SP 3165 OP 3169 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3539618.3591814 DO https://dl.acm.org/doi/10.1145/3539618.3591814 SF ELIB - SuUB Bremen
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