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Robust Cascade Reconstruction by Steiner Tree Sampling.

, , and . ICDM, page 637-646. IEEE Computer Society, (2018)

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Influence Maximization in Online Social Networks., , , and . WSDM, page 775-776. ACM, (2018)Learning Ideological Embeddings from Information Cascades., , , and . CIKM, page 1325-1334. ACM, (2021)Mining Frequent Patterns in Evolving Graphs., , , and . CIKM, page 923-932. ACM, (2018)TipTap: Approximate Mining of Frequent k-Subgraph Patterns in Evolving Graphs., , , and . ACM Trans. Knowl. Discov. Data, 15 (3): 48:1-48:35 (2021)Online Topic-aware Influence Maximization Queries., , , and . EDBT, page 295-306. OpenProceedings.org, (2014)Efficient and Effective Algorithms for Revenue Maximization in Social Advertising., , , , , and . SIGMOD Conference, page 671-684. ACM, (2021)Viral Marketing Meets Social Advertising: Ad Allocation with Minimum Regret., , , , and . Proc. VLDB Endow., 8 (7): 822-833 (2015)From viral marketing to social advertising: ad allocation under social influence.. Pompeu Fabra University, Spain, (2016)Querying Intimate-Core Groups in Weighted Graphs., , , , , and . ICSC, page 156-163. IEEE Computer Society, (2017)Workload-aware Materialization for Efficient Variable Elimination on Bayesian Networks., , , and . ICDE, page 1152-1163. IEEE, (2021)