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Discovering alignment relations with Graph Convolutional Networks: A biomedical case study.

, , , and . Semantic Web, 13 (3): 379-398 (2022)

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Discovering alignment relations with Graph Convolutional Networks: A biomedical case study., , , and . Semantic Web, 13 (3): 379-398 (2022)Subsumption and Classification-Based Reasoning in Object-Based Representations.. ECAI, page 425-429. John Wiley and Sons, (1992)Text-based ontology construction using relational concept analysis, , , , and . International Workshop on Ontology Dynamics - IWOD 2007, Innsbruck, Autriche, (June 2007)Mint: MDL-based approach for Mining INTeresting Numerical Pattern Sets., , and . Data Min. Knowl. Discov., 36 (1): 108-145 (2022)Knowledge Reconciliation of n-ary Relations., , , and . CoRR, (2020)Treillis de concepts et ontologies pour l'interrogation d'un annuaire de sources de données biologiques (BioRegistry)., , , and . INFORSID, page 587-602. (2005)A Bayesian Neural Network based on Dropout Regulation., , , , and . CoRR, (2021)An FCA Framework for Knowledge Discovery in SPARQL Query Answers., and . ISWC (Posters & Demos), volume 1035 of CEUR Workshop Proceedings, page 197-200. CEUR-WS.org, (2013)Knowledge Reconciliation with Graph Convolutional Networks: Preliminary Results., , , and . DL4KG@ESWC, volume 2377 of CEUR Workshop Proceedings, page 47-56. CEUR-WS.org, (2019)Making ML Models Fairer Through Explanations: The Case of LimeOut., , , and . AIST, volume 12602 of Lecture Notes in Computer Science, page 3-18. Springer, (2020)