1. Francesco Bariatti. Mining Tractable Sets of Graph Patterns with the Minimum Description Length Principle. PhD thesis, Université de Rennes 1, November 2021. [WWW] [bibtex-entry]

1. Sébastien Ferré. Application of Concepts of Neighbours to Knowledge Graph Completion. Data Science: Methods, Infrastructure, and Applications, 4:1-28, 2021. [doi:10.3233/DS-200030] Keyword(s): knowledge graph, link prediction, concepts of enighbours. [Abstract] [bibtex-entry]



2. Sébastien Ferré and Peggy Cellier. Graph-FCA: An extension of formal concept analysis to knowledge graphs. Discrete Applied Mathematics, 273(5):81-102, 2020. [WWW] [doi:https://doi.org/10.1016/j.dam.2019.03.003] Keyword(s): Formal concept analysis, Knowledge graph, Semantic web, Graph homomorphism. [Abstract] [bibtex-entry]

1. Francesco Bariatti, Peggy Cellier, and Sébastien Ferré. GraphMDL+: interleaving the generation and MDL-based selection of graph patterns. In Chih-Cheng Hung, Jiman Hong, Alessio Bechini, and Eunjee Song, editors, ACM/SIGAPP Symp. Applied Computing (SAC), pages 355-363, 2021. ACM. [WWW] [doi:10.1145/3412841.3441917] [Abstract] [bibtex-entry]



2. Francesco Bariatti, Peggy Cellier, and Sébastien Ferré. GraphMDL Visualizer: Interactive Visualization of Graph Patterns. In Graph Embedding and Mining (GEM), an ECML-PKDD workshop, 2020. [WWW] Keyword(s): graph mining, graph pattern, MDL principle, visualization. [Abstract] [bibtex-entry]



3. Francesco Bariatti, Peggy Cellier, and Sébastien Ferré. GraphMDL: Graph Pattern Selection based on Minimum Description Length. In Symposium on Intelligent Data Analysis (IDA), 2020. [WWW] [PDF] Keyword(s): Minimum Description Length, Graph Mining, Pattern Mining. [Abstract] [bibtex-entry]



4. Sébastien Ferré. Link Prediction in Knowledge Graphs with Concepts of Nearest Neighbours. In Pascal Hitzler, Miriam Fernández, Krzysztof Janowicz, Amrapali Zaveri, Alasdair J. G. Gray, Vanessa López, Armin Haller, and Karl Hammar, editors, The Semantic Web (ESWC), LNCS 11503, pages 84-100, 2019. Springer. [WWW] [doi:10.1007/978-3-030-21348-0_6] Keyword(s): semantic web, link prediction, nearest neighbours, similarity, graph pattern, concept. [bibtex-entry]



5. Sébastien Ferré. Prédiction de liens dans les graphes de connaissances avec les concepts de plus proches voisins. In Marie-Christine Rousset and Lydia Boudjeloud-Assala, editors, Extraction et Gestion des connaissances (EGC), volume E-35 of RNTI, pages 69-80, 2019. Hermann-Éditions. [WWW] Keyword(s): semantic web, link prediction, nearest neighbours, similarity, graph pattern, concept. [bibtex-entry]



6. Sébastien Ferré. Answers Partitioning and Lazy Joins for Efficient Query Relaxation and Application to Similarity Search. In A. Gangemi and others, editors, Int. Conf. The Semantic Web (ESWC), LNCS 10843, pages 209-224, 2018. Springer. [WWW] [doi:10.1007/978-3-319-93417-4_14] Keyword(s): query relaxation, approximate answer, similarity search, semantic similarity, TDF, graph pattern, partition, join. [Abstract] [bibtex-entry]



7. Sébastien Ferré and Peggy Cellier. Graph-FCA in Practice. In O. Haemmerlé, G. Stapleton, and C. Faron-Zucker, editors, Int. Conf. Conceptual Structures (ICCS) - Graph-Based Representation and Reasoning, LNCS 9717, pages 107-121, 2016. Springer. [WWW] [doi:10.1007/978-3-319-40985-6_9] Keyword(s): formal concept analysis, knowledge graph, graph pattern, algorithm. [Abstract] [bibtex-entry]



8. Sébastien Ferré. A Proposal for Extending Formal Concept Analysis to Knowledge Graphs. In J. Baixeries, C. Sacarea, and M. Ojeda-Aciego, editors, Int. Conf. Formal Concept Analysis (ICFCA), LNCS 9113, pages 271-286, 2015. Springer. Keyword(s): formal concept analysis, knowledge graph, Semantic Web, graph pattern, relation, projection. [Abstract] [bibtex-entry]

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