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1 Ergebnisse
1
Accelerated GNN Training with DGL and RAPIDS cuGraph in a F..:
, In:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
,
Rees, Brad
;
Wang, Xiaoyun
;
Eaton, Joe
... - p. 4820-4821 , 2022
Link:
https://dl.acm.org/doi/10.1145/3534678.3542603
RT T1 <cTitle>Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining</cTitle>: T1 <Title>Accelerated GNN Training with DGL and RAPIDS cuGraph in a Fraud Detection Workflow</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3542603&Exemplar=1&LAN=DE A1 Rees, Brad A1 Wang, Xiaoyun A1 Eaton, Joe A1 Yilmaz, Onur A1 Ratzel, Rick A1 LaSalle, Dominque PB ACM YR 2022 K1 etl K1 gpus K1 gradient boosted decision tree K1 graph analytics K1 graph neural networks K1 Computing methodologies K1 Machine learning K1 Machine learning algorithms K1 Distributed computing methodologies K1 Distributed algorithms K1 Computer systems organization K1 Architectures K1 Distributed architectures SP 4820 OP 4821 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3534678.3542603 DO https://dl.acm.org/doi/10.1145/3534678.3542603 SF ELIB - SuUB Bremen
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