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G-Tries: a data structure for storing and finding subgraphs., and . Data Min. Knowl. Discov., 28 (2): 337-377 (2014)Event detection in evolving networks., , and . CASoN, page 26-32. IEEE, (2012)Discovering Colored Network Motifs., and . CompleNet, volume 549 of Studies in Computational Intelligence, page 107-118. Springer, (2014)Rand-FaSE: fast approximate subgraph census., and . Soc. Netw. Anal. Min., 5 (1): 17:1-17:18 (2015)TensorCast: forecasting and mining with coupled tensors., , , and . Knowl. Inf. Syst., 59 (3): 497-522 (2019)Scalable subgraph counting using MapReduce., and . SAC, page 1574-1581. ACM, (2017)Querying subgraph sets with g-tries., and . DBSocial, page 25-30. ACM, (2012)TensorCast: Forecasting with Context Using Coupled Tensors (Best Paper Award)., , and . ICDM, page 71-80. IEEE Computer Society, (2017)g-tries: an efficient data structure for discovering network motifs., and . SAC, page 1559-1566. ACM, (2010)Parallel Calculation of Subgraph Census in Biological Networks., , and . BIOINFORMATICS, page 56-65. INSTICC Press, (2010)