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Weighting Indirect Relations to Elucidate the Direct Association of SNP-Disease by Use of SPARQL Queries.

, , и . SWAT4LS, том 1114 из CEUR Workshop Proceedings, CEUR-WS.org, (2013)

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Biyomedikal bilgi çizgeleri için makine öğrenmesi tabanlı anlamsal bağ tahmini (Machine learning based semantic link prediction for biomedical knowledge graphs). Ege University, Turkey, (2018)Predicting missing annotations in Gene Ontology with Knowledge Graph Embeddings and True Path Rule., , , и . SWAT4HCLS, том 3415 из CEUR Workshop Proceedings, стр. 82-86. CEUR-WS.org, (2023)Evaluation of knowledge graph embedding approaches for drug-drug interaction prediction using Linked Open Data., , , , , и . SWAT4LS, том 2275 из CEUR Workshop Proceedings, CEUR-WS.org, (2018)Machine Learning Based Drug Indication Prediction Using Linked Open Data., , и . SWAT4LS, том 2042 из CEUR Workshop Proceedings, CEUR-WS.org, (2017)Weighting Indirect Relations to Elucidate the Direct Association of SNP-Disease by Use of SPARQL Queries., , и . SWAT4LS, том 1114 из CEUR Workshop Proceedings, CEUR-WS.org, (2013)Prediction of Drug-Drug Interactions Using Pharmacological Similarities of Drugs., , , , и . DEXA Workshops, стр. 14-17. IEEE Computer Society, (2015)Enhanced GAT: Expanding Receptive Field with Meta Path-Guided RDF Rules for Two-Hop Connectivity., , и . QALD/SemREC@ISWC, том 3592 из CEUR Workshop Proceedings, CEUR-WS.org, (2023)Semantic Answer Type Prediction by Using BERT classifier and Rule-based Ranking Strategies., , , , и . SMART@ISWC, том 3119 из CEUR Workshop Proceedings, стр. 66-76. CEUR-WS.org, (2021)Semantic Annotation of Tabular Data for Machine-to-Machine Interoperability via Neuro-Symbolic Anchoring., и . SemTab@ISWC, том 3557 из CEUR Workshop Proceedings, стр. 61-71. CEUR-WS.org, (2023)Process Matchmaking on a P2P Environment., , , , и . IAT Workshops, стр. 463-466. IEEE Computer Society, (2006)