| Neuro-symbolic representation learning on biological knowledge graphs M Alshahrani, MA Khan, O Maddouri, AR Kinjo, N Queralt-Rosinach, ... Bioinformatics 33 (17), 2723-2730, 2017 | 168 | 2017 |
| The interplay of knowledge representation with various fields of artificial intelligence in medicine L Balkanyi, R Cornet Yearbook of medical informatics 28 (01), 027-034, 2019 | 17 | 2019 |
| Deep graph representations embed network information for robust disease marker identification O Maddouri, X Qian, BJ Yoon Bioinformatics 38 (4), 1075-1086, 2022 | 6 | 2022 |
| Robust importance sampling for error estimation in the context of optimal Bayesian transfer learning O Maddouri, X Qian, FJ Alexander, ER Dougherty, BJ Yoon Patterns 3 (3), 2022 | 4 | 2022 |
| Deep learning on biological knowledge graphs O Maddouri PQDT-Global, 2017 | 2 | 2017 |
| Geometric Affinity Propagation for Clustering With Network Knowledge O Maddouri, X Qian, BJ Yoon IEEE Transactions on Knowledge and Data Engineering 35 (11), 11419-11436, 2023 | 1 | 2023 |
| Synthetic data for design and evaluation of binary classifiers in the context of Bayesian transfer learning O Maddouri, X Qian, FJ Alexander, ER Dougherty, BJ Yoon Data in Brief 42, 108113, 2022 | | 2022 |
| Neuro-symbolic representation learning on biological knowledge graphs O Maddouri, M Alshahrani, MA Khan, N Queralt-Rosinach, AR Kinjo, ... | | 2017 |
| bio-ontology-research-group/walking-rdf-and-owl: Feature learning over RDF data and OWL ontologies M AlShahrani, O Maddouri, AR Kinjo, N Queralt-Rosinach, R Hoehndorf, ... Github, 2016 | | 2016 |
Robert HoehndorfKing Abdullah University of Science and Technology在 kaust.edu.sa 的电子邮件经过验证
