Relation-Aware Heterogeneous Graph Neural Network for Fraud Detection

Li, E; Ouyang, J; Xiang, S; Qin, L; Chen, L

Relation-Aware Heterogeneous Graph Neural Network for Fraud Detection

Li, E Ouyang, J Xiang, S

Qin, L

Chen, L

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Publisher:: Springer Nature
Publication Type:: Chapter
Citation:: Web and Big Data, 2024, 14963, pp. 240-255
Issue Date:: 2024

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Field	Value	Language
dc.contributor.author	Li, E
dc.contributor.author	Ouyang, J
dc.contributor.author	Xiang, S https://orcid.org/0000-0002-1454-8240
dc.contributor.author	Qin, L https://orcid.org/0000-0001-6068-5062
dc.contributor.author	Chen, L https://orcid.org/0000-0002-6468-5729
dc.date.accessioned	2024-09-30T03:06:34Z
dc.date.available	2024-09-30T03:06:34Z
dc.date.issued	2024
dc.identifier.citation	Web and Big Data, 2024, 14963, pp. 240-255
dc.identifier.isbn	9789819772377
dc.identifier.uri	http://hdl.handle.net/10453/181086
dc.language	en
dc.publisher	Springer Nature
dc.relation.ispartof	Web and Big Data
dc.relation.ispartofseries	Lecture Notes in Computer Science
dc.relation.isbasedon	10.1007/978-981-97-7238-4_16
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Artificial Intelligence & Image Processing
dc.subject.classification	46 Information and computing sciences
dc.title	Relation-Aware Heterogeneous Graph Neural Network for Fraud Detection
dc.type	Chapter
utslib.citation.volume	14963
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	University of Technology Sydney/UTS Groups
pubs.organisational-group	University of Technology Sydney/UTS Groups/Australian Artificial Intelligence Institute (AAII)
utslib.copyright.status	closed_access	*
dc.date.updated	2024-09-30T03:06:32Z
pubs.publication-status	Published
pubs.volume	14963

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http://hdl.handle.net/10453/181086