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EdMot : An Edge Enhancement Approach for Motif-aware Com..:
, In:
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
,
Li, Pei-Zhen
;
Huang, Ling
;
Wang, Chang-Dong
. - p. 479-487 , 2019
Link:
https://dl.acm.org/doi/10.1145/3292500.3330882
RT T1 <cTitle>Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining</cTitle>: T1 <Title>EdMot : An Edge Enhancement Approach for Motif-aware Community Detection</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3330882&Exemplar=1&LAN=DE A1 Li, Pei-Zhen A1 Huang, Ling A1 Wang, Chang-Dong A1 Lai, Jian-Huang PB ACM YR 2019 K1 community detection K1 edge enhancement K1 fragmentation issue K1 higher-order K1 motif K1 Networks K1 Network properties K1 Network structure K1 Topology analysis and generation K1 Information systems K1 Information systems applications K1 Data mining K1 Clustering K1 Network architectures K1 Data management systems K1 Database design and models K1 Graph-based database models K1 Network data models SP 479 OP 487 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3292500.3330882 DO https://dl.acm.org/doi/10.1145/3292500.3330882 SF ELIB - SuUB Bremen
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