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1 Ergebnisse
1
Disentangled Dynamic Heterogeneous Graph Learning for Opioi..:
, In:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
,
Wen, Qianlong
;
Ouyang, Zhongyu
;
Zhang, Jianfei
... - p. 2009-2019 , 2022
Link:
https://dl.acm.org/doi/10.1145/3534678.3539279
RT T1 <cTitle>Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining</cTitle>: T1 <Title>Disentangled Dynamic Heterogeneous Graph Learning for Opioid Overdose Prediction</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3539279&Exemplar=1&LAN=DE A1 Wen, Qianlong A1 Ouyang, Zhongyu A1 Zhang, Jianfei A1 Qian, Yiyue A1 Ye, Yanfang A1 Zhang, Chuxu PB ACM YR 2022 K1 dynamic heterogeneous graph K1 graph neural network K1 opioid overdose K1 pdmp K1 Information systems K1 Information systems applications K1 Spatial-temporal systems K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Theory of computation K1 Design and analysis of algorithms K1 Graph algorithms analysis K1 Dynamic graph algorithms SP 2009 OP 2019 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3534678.3539279 DO https://dl.acm.org/doi/10.1145/3534678.3539279 SF ELIB - SuUB Bremen
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