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Mining graph topological patterns: Finding covariations among vertex descriptors

, , , and . IEEE Transactions on Knowledge and Data Engineering, 25 (9): 2090--2104 (2013)

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Mining Disjunctive Rules in Dynamic Graphs., , and . RIVF, page 1-6. IEEE, (2012)Improving the Quality of Rule-Based GNN Explanations., , , and . PKDD/ECML Workshops (1), volume 1752 of Communications in Computer and Information Science, page 467-482. Springer, (2022)Qu'est-ce que mon GNN capture vraiment ? Exploration des représentations internes d'un GNN., , , , and . EGC, volume E-38 of RNTI, page 159-170. Editions RNTI, (2022)Exceptional Attributed Subgraph Mining to Understand the Olfactory Percept., , , , and . DS, volume 11198 of Lecture Notes in Computer Science, page 276-291. Springer, (2018)Contrastive Antichains in Hierarchies., , , , and . KDD, page 294-304. ACM, (2019)Mining Subjectively Interesting Attributed Subgraphs., , , , , and . CoRR, (2019)Sequential Patterns to Discover and Characterise Biological Relations., , and . CICLing, volume 6008 of Lecture Notes in Computer Science, page 537-548. Springer, (2010)Recommandation séquentielle à base de séquences fréquentes., , , and . EGC, volume E-35 of RNTI, page 267-272. Éditions RNTI, (2019)Analyse de comportements relatifs exceptionnels expliquée par des textes : les votes du parlement européen., , , , , , , and . EGC, volume E-35 of RNTI, page 437-440. Éditions RNTI, (2019)Discovering and Visualizing Tactics in a Table Tennis Game Based on Subgroup Discovery., , , , and . MLSA@PKDD/ECML, volume 1783 of Communications in Computer and Information Science, page 101-112. Springer, (2022)