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Discovering Dense Correlated Subgraphs in Dynamic Networks.

, , , and . PAKDD (1), volume 12712 of Lecture Notes in Computer Science, page 395-407. Springer, (2021)

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Discovering Dense Correlated Subgraphs in Dynamic Networks., , , and . PAKDD (1), volume 12712 of Lecture Notes in Computer Science, page 395-407. Springer, (2021)Mining Dense Subgraphs with Similar Edges., , , and . ECML/PKDD (3), volume 12459 of Lecture Notes in Computer Science, page 20-36. Springer, (2020)Polaris: Sampling from the Multigraph Configuration Model with Prescribed Color Assortativity., , , and . CoRR, (2024)STruD: Truss Decomposition of Simplicial Complexes., , and . WWW, page 3408-3418. ACM / IW3C2, (2021)MaNIACS: Approximate Mining of Frequent Subgraph Patterns through Sampling., , and . KDD, page 1348-1358. ACM, (2021)Alice and the Caterpillar: A More Descriptive Null Model for Assessing Data Mining Results., , and . ICDM, page 418-427. IEEE, (2022)ExCoDE: a Tool for Discovering and Visualizing Regions of Correlation in Dynamic Networks., , , and . ICDM Workshops, page 1114-1117. IEEE, (2019)Mining patterns in graphs with multiple weights., , , and . Distributed Parallel Databases, 39 (2): 281-319 (2021)MaNIACS: Approximate Mining of Frequent Subgraph Patterns through Sampling., , and . ACM Trans. Intell. Syst. Technol., 14 (3): 54:1-54:29 (2023)FreSCo: Mining Frequent Patterns in Simplicial Complexes., , and . WWW, page 1444-1454. ACM, (2022)