| 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 | 84 | 2017 |
| The flora phenotype ontology (FLOPO): tool for integrating morphological traits and phenotypes of vascular plants R Hoehndorf, M Alshahrani, GV Gkoutos, G Gosline, Q Groom, T Hamann, ... Journal of Biomedical Semantics 7 (1), 1-11, 2016 | 28 | 2016 |
| Semantic Disease Gene Embeddings (SmuDGE): phenotype-based disease gene prioritization without phenotypes M Alshahrani, R Hoehndorf Bioinformatics 34 (17), i901-i907, 2018 | 24 | 2018 |
| DANNP: an efficient artificial neural network pruning tool M Alshahrani, O Soufan, A Magana-Mora, VB Bajic PeerJ Computer Science 3, e137, 2017 | 10 | 2017 |
| Drug repurposing through joint learning on knowledge graphs and literature M Alshahrani, R Hoehndorf Cold Spring Harbor Laboratory, 2018 | 3 | 2018 |
| Knowledge Graph Representation Learning: Approaches and Applications in Biomedicine M AlShahrani | 1 | 2019 |
| SPARQL2OWL: Towards Bridging the Semantic Gap Between RDF and OWL. M Alshahrani, H Almashouq, R Hoehndorf ICBO/BioCreative, 2016 | 1 | 2016 |
| Supplementary Material for: The flora phenotype ontology (FLOPO): tool for integrating morphological traits and phenotypes of vascular plants R Hoehndorf, M Alshahrani, G Gkoutos, G Gosline, Q Groom, T Hamann, ... Figshare, 2016 | | 2016 |
| Towards an Efficient Artificial Neural Network Pruning and Feature Ranking Tool M AlShahrani | | 2015 |
Robert HoehndorfKing Abdullah University of Science and TechnologyVerified email at kaust.edu.sa
