GF-LRP: A Method for Explaining Predictions Made by Variational Graph Auto-Encoders

dc.contributor.author	Rodrigo-Bonet, Esther
dc.contributor.author	Deligiannis, Nikolaos
dc.contributor.imecauthor	Rodrigo-Bonet, Esther
dc.contributor.imecauthor	Deligiannis, Nikolaos
dc.contributor.orcidimec	Deligiannis, Nikolaos::0000-0001-9300-5860
dc.date.accessioned	2025-03-26T10:21:29Z
dc.date.available	2024-07-16T18:13:20Z
dc.date.available	2025-03-26T10:21:29Z
dc.date.issued	2025
dc.description.wosFundingText	This work was supported in part by the Research Foundation-Flanders (FWO) through the Ph.D. Fellowship Strategic Basic Research under Project 1SC4521N, in part by IMEC through the AAA Project AI-based Air Quality Map and Analytics, and in part by the Flemish Government, through the "Onderzoeksprogramma Artificiele Intelligentie (AI) Vlaanderen" Programme.
dc.identifier.doi	10.1109/TETCI.2024.3419714
dc.identifier.issn	2471-285X
dc.identifier.uri	https://imec-publications.be/handle/20.500.12860/44163
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.source.beginpage	281
dc.source.endpage	291
dc.source.issue	1
dc.source.journal	IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE
dc.source.numberofpages	11
dc.source.volume	9
dc.subject.keywords	AIR-QUALITY
dc.title	GF-LRP: A Method for Explaining Predictions Made by Variational Graph Auto-Encoders
dc.type	Journal article
dspace.entity.type	Publication
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