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Nearly exact mining of frequent trees in large networks.

, and . Data Min. Knowl. Discov., 27 (3): 478-504 (2013)

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Multi-Agent Relational Reinforcement Learning. Explorations in Multi-State Coordination Tasks, , , and . Learning and Adaptation in Multi-Agent Systems, volume 3898 of Lecture Notes in Artificial Intelligence, Springer Verlag, Berlin, (2006)Introducing the TRUMPET project: TRUstworthy Multi-site Privacy Enhancing Technologies., , , , , , , , , and 5 other author(s). CSR, page 604-611. IEEE, (2023)Linear Programs with Conjunctive Database Queries., , , and . CoRR, (2022)Naive Infinite Enumeration of Context-free Languages in Incremental Polynomial Time., , , , and . J. Univers. Comput. Sci., 21 (7): 891-911 (2015)Learning directed probabilistic logical models: ordering-search versus structure-search., , , and . Ann. Math. Artif. Intell., 54 (1-3): 99-133 (2008)Improving the Efficiency of Inductive Logic Programming Through the Use of Query Packs, , , , , and . CoRR, (2011)An Efficiently Computable Support Measure for Frequent Subgraph Pattern Mining., and . ECML/PKDD (1), volume 7523 of Lecture Notes in Computer Science, page 362-377. Springer, (2012)Learning from networked examples., , and . CoRR, (2014)Open Problem: Learning Dynamic Network Models from a Static Snapshot., and . COLT, volume 23 of JMLR Proceedings, page 45.1-45.3. JMLR.org, (2012)Top-down induction of clustering trees, , and . CoRR, (2000)