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Finding Driver Pathways in Cancer: Models and Algorithms., , and . Algorithms Mol. Biol., (2012)Differentially Mutated Subnetworks Discovery., , and . WABI, volume 113 of LIPIcs, page 18:1-18:14. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2018)Efficient mining of the most significant patterns with permutation testing., and . Data Min. Knowl. Discov., 34 (4): 1201-1234 (2020)Are Graph Convolutional Networks Fully Exploiting Graph Structure?, and . CoRR, (2020)Attention-Based Deep Learning Framework for Human Activity Recognition with User Adaptation., and . CoRR, (2020)An Efficient Rigorous Approach for Identifying Statistically Significant Frequent Itemsets., , , , , and . J. ACM, 59 (3): 12:1-12:22 (2012)Genome-Wide Survival Analysis of Somatic Mutations in Cancer., , , and . RECOMB, volume 7821 of Lecture Notes in Computer Science, page 285-286. Springer, (2013)Mining top-K frequent itemsets through progressive sampling., , , and . Data Min. Knowl. Discov., 21 (2): 310-326 (2010)SPuManTE: Significant Pattern Mining with Unconditional Testing., , and . KDD, page 1528-1538. ACM, (2019)PRESTO: Simple and Scalable Sampling Techniques for the Rigorous Approximation of Temporal Motif Counts., and . SDM, page 145-153. SIAM, (2021)