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Significant Subgraph Mining with Multiple Testing Correction., , , and . SDM, page 37-45. SIAM, (2015)Fast and Memory-Efficient Significant Pattern Mining via Permutation Testing., , , and . KDD, page 725-734. ACM, (2015)graphkernels: R and Python packages for graph comparison., , , and . Bioinform., 34 (3): 530-532 (2018)CASMAP: detection of statistically significant combinations of SNPs in association mapping., , , , and . Bioinform., 35 (15): 2680-2682 (2019)Graph Kernels: State-of-the-Art and Future Challenges., , , , and . Found. Trends Mach. Learn., (2020)Searching for significant patterns in stratified data., , , and . CoRR, (2015)Learning Energy Networks with Generalized Fenchel-Young Losses., , , , and . NeurIPS, (2022)Differentiable Clustering with Perturbed Spanning Forests., , , and . CoRR, (2023)Significant Subgraph Mining with Multiple Testing Correction., , , and . CoRR, (2014)Genome-wide detection of intervals of genetic heterogeneity associated with complex traits., , , , , , and . Bioinform., 31 (12): 240-249 (2015)