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1 Ergebnisse
1
Burstiness-aware Bipartite Graph Neural Networks for Fraudu..:
, In:
Companion Proceedings of the ACM Web Conference 2024
,
Lu, Yen-Wen
;
Tsai, Yu-Che
;
Li, Cheng-Te
- p. 834-837 , 2024
Link:
https://dl.acm.org/doi/10.1145/3589335.3651475
RT T1 <cTitle>Companion Proceedings of the ACM Web Conference 2024</cTitle>: T1 <Title>Burstiness-aware Bipartite Graph Neural Networks for Fraudulent User Detection on Rating Platforms</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3651475&Exemplar=1&LAN=DE A1 Lu, Yen-Wen A1 Tsai, Yu-Che A1 Li, Cheng-Te PB ACM YR 2024 K1 bipartite graphs K1 burstiness features K1 fraud detection K1 fraudulent users K1 graph neural networks K1 rating activities K1 Information systems K1 Information systems applications K1 Data mining SP 834 OP 837 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3589335.3651475 DO https://dl.acm.org/doi/10.1145/3589335.3651475 SF ELIB - SuUB Bremen
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