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1 Ergebnisse
1
Modeling Dynamic Heterogeneous Graph and Node Importance fo..:
, In:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management
,
Geng, Hao
;
Wang, Deqing
;
Zhuang, Fuzhen
... - p. 572-581 , 2022
Link:
https://dl.acm.org/doi/10.1145/3511808.3557398
RT T1 <cTitle>Proceedings of the 31st ACM International Conference on Information & Knowledge Management</cTitle>: T1 <Title>Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3557398&Exemplar=1&LAN=DE A1 Geng, Hao A1 Wang, Deqing A1 Zhuang, Fuzhen A1 Ming, Xuehua A1 Du, Chenguang A1 Jiang, Ting A1 Guo, Haolong A1 Liu, Rui PB ACM YR 2022 K1 citation count prediction K1 dynamic heterogeneous graph K1 node importance estimation K1 Information systems K1 Information systems applications K1 Data mining SP 572 OP 581 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3511808.3557398 DO https://dl.acm.org/doi/10.1145/3511808.3557398 SF ELIB - SuUB Bremen
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