| Discovering protein drug targets using knowledge graph embeddings SK Mohamed, V Nováček, A Nounu Bioinformatics 36 (2), 603-610, 2020 | 36 | 2020 |
| Regularizing knowledge graph embeddings via equivalence and inversion axioms P Minervini, L Costabello, E Muñoz, V Nováček, PY Vandenbussche Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017 | 33 | 2017 |
| Facilitating prediction of adverse drug reactions by using knowledge graphs and multi-label learning models E Muñoz, V Nováček, PY Vandenbussche Briefings in bioinformatics 20 (1), 190-202, 2019 | 30 | 2019 |
| Infrastructure for dynamic knowledge integration—Automated biomedical ontology extension using textual resources V Nováček, L Laera, S Handschuh, B Davis Journal of biomedical informatics 41 (5), 816-828, 2008 | 28 | 2008 |
| Semi-automatic integration of learned ontologies into a collaborative framework V Nováček, S Handschuh | 27 | 2007 |
| Empirical merging of ontologies—a proposal of universal uncertainty representation framework V Nováček, P Smrž European Semantic Web Conference, 65-79, 2006 | 21 | 2006 |
| Getting the meaning right: A complementary distributional layer for the web semantics V Nováček, S Handschuh, S Decker International Semantic Web Conference, 504-519, 2011 | 20 | 2011 |
| Using drug similarities for discovery of possible adverse reactions E Muñoz, V Nováček, PY Vandenbussche AMIA Annual Symposium Proceedings 2016, 924, 2016 | 19 | 2016 |
| CORAAL—Dive into publications, bathe in the knowledge V Nováček, T Groza, S Handschuh, S Decker Web Semantics: Science, Services and Agents on the World Wide Web 8 (2-3 …, 2010 | 18 | 2010 |
| Loss Functions in Knowledge Graph Embedding Models. SK Mohamed, V Novácek, PY Vandenbussche, E Muñoz DL4KG@ ESWC, 1-10, 2019 | 13 | 2019 |
| CORAAL–Towards Deep Exploitation of Textual Resources in Life Sciences V Nováček, T Groza, S Handschuh Conference on Artificial Intelligence in Medicine in Europe, 206-215, 2009 | 13 | 2009 |
| Extending Community Ontology Using Automatically Generated Suggestions. V Novácek, M Dabrowski, SR Kruk, S Handschuh FLAIRS Conference, 290-296, 2007 | 13 | 2007 |
| Link prediction using multi part embeddings SK Mohamed, V Nováček European Semantic Web Conference, 240-254, 2019 | 12 | 2019 |
| Drug target discovery using knowledge graph embeddings SK Mohamed, A Nounu, V Nováček Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 11-18, 2019 | 11 | 2019 |
| Knowledge base completion using distinct subgraph paths SK Mohamed, V Nováček, PY Vandenbussche Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 1992-1999, 2018 | 11 | 2018 |
| Ontology Learning V Nováček Brno: Faculty of Informatics, Masaryk University, 2006 | 11* | 2006 |
| D1. 2.5 Architecture of the Semantic Web Framework v2 R Garcıa-Castro, O Munoz-Garcıa, M Suárez-Figueroa, A Gómez-Pérez, ... Technical report, Knowledge Web, 2007 | 10 | 2007 |
| Ontology acquisition for automatic building of scientific portals P Smrž, V Nováček International Conference on Current Trends in Theory and Practice of …, 2006 | 9 | 2006 |
| Report and prototype of dynamics in the ontology lifecycle (D2. 3.8 v1). Deliverable 238v1 V Novácek, S Handschuh, L Laera, D Maynard, M Völkel, T Groza, ... Knowledge Web, 2006 | 9 | 2006 |
| Towards lightweight and robust large scale emergent knowledge processing V Nováček, S Decker International Semantic Web Conference, 456-472, 2009 | 8 | 2009 |
Siegfried HandschuhChair of Data Science and Natural Language Processing, University of St.GallenVerifierad e-postadress på unisg.ch
