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Joint Subgraph-to-Subgraph Transitions: Generalizing Triadi..:
, In:
Proceedings of the 14th ACM International Conference on Web Search and Data Mining
,
Hibshman, Justus Isaiah
;
Gonzalez, Daniel
;
Sikdar, Satyaki
. - p. 815-823 , 2021
Link:
https://dl.acm.org/doi/10.1145/3437963.3441817
RT T1 <cTitle>Proceedings of the 14th ACM International Conference on Web Search and Data Mining</cTitle>: T1 <Title>Joint Subgraph-to-Subgraph Transitions: Generalizing Triadic Closure for Powerful and Interpretable Graph Modeling</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3441817&Exemplar=1&LAN=DE A1 Hibshman, Justus Isaiah A1 Gonzalez, Daniel A1 Sikdar, Satyaki A1 Weninger, Tim PB ACM YR 2021 K1 graphs K1 link prediction K1 subgraphs K1 triadic closure K1 Networks K1 Network properties K1 Network structure K1 Topology analysis and generation SP 815 OP 823 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3437963.3441817 DO https://dl.acm.org/doi/10.1145/3437963.3441817 SF ELIB - SuUB Bremen
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