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Program Analysis and Graph Pattern Matching to Reveal Modularity and Potential for Parallelism.

, , , and . APSEC, page 648-652. IEEE, (2018)

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Sigma: a Set-Cover-Based Inexact Graph Matching Algorithm., , , , , and . J. Bioinform. Comput. Biol., 8 (2): 199-218 (2010)Comparing User Perspectives in a Virtual Reality Cultural Heritage Environment., , , , and . CAiSE, volume 13901 of Lecture Notes in Computer Science, page 3-15. Springer, (2023)SigSpot: mining significant anomalous regions from time-evolving networks (abstract only)., , , , , and . SIGMOD Conference, page 865. ACM, (2012)NetSpot: Spotting Significant Anomalous Regions on Dynamic Networks., , , , , and . SDM, page 28-36. SIAM, (2013)Program Analysis and Graph Pattern Matching to Reveal Modularity and Potential for Parallelism., , , and . APSEC, page 648-652. IEEE, (2018)Fast analytical methods for finding significant labeled graph motifs., , , , , and . Data Min. Knowl. Discov., 32 (2): 504-531 (2018)A General Powerful Graph Pattern Matching System for Data Analysis., , , and . COMPLEX NETWORKS (2), volume 813 of Studies in Computational Intelligence, page 40-53. Springer, (2018)An Urban Fault Reporting and Management Platform for Smart Cities., , , , , and . WWW (Companion Volume), page 535-540. ACM, (2015)Distributed randomized algorithms for low-support data mining., , , and . IPDPS, page 1-7. IEEE, (2009)Graph-based Retrieval for Claim Verification over Cross-document Evidence., and . COMPLEX NETWORKS, volume 1016 of Studies in Computational Intelligence, page 486-495. Springer, (2021)