| Translating embeddings for modeling multi-relational data A Bordes, N Usunier, A Garcia-Duran, J Weston, O Yakhnenko Advances in neural information processing systems 26, 2013 | 6300 | 2013 |
| Generating factoid questions with recurrent neural networks: The 30m factoid question-answer corpus IV Serban, A García-Durán, C Gulcehre, S Ahn, S Chandar, A Courville, ... arXiv preprint arXiv:1603.06807, 2016 | 298 | 2016 |
| Learning sequence encoders for temporal knowledge graph completion A García-Durán, S Dumančić, M Niepert arXiv preprint arXiv:1809.03202, 2018 | 219 | 2018 |
| Learning graph representations with embedding propagation A Garcia Duran, M Niepert Advances in neural information processing systems 30, 2017 | 160 | 2017 |
| Composing relationships with translations A García-Durán, A Bordes, N Usunier CNRS, Heudiasyc, 2015 | 103 | 2015 |
| MMKG: multi-modal knowledge graphs Y Liu, H Li, A Garcia-Duran, M Niepert, D Onoro-Rubio, DS Rosenblum The Semantic Web: 16th International Conference, ESWC 2019, Portorož …, 2019 | 85 | 2019 |
| Kblrn: End-to-end learning of knowledge base representations with latent, relational, and numerical features A García-Durán, M Niepert arXiv preprint arXiv:1709.04676, 2017 | 84 | 2017 |
| Effective blending of two and three-way interactions for modeling multi-relational data A García-Durán, A Bordes, N Usunier Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014 | 58 | 2014 |
| Combining two and three-way embedding models for link prediction in knowledge bases A Garcia-Duran, A Bordes, N Usunier, Y Grandvalet Journal of Artificial Intelligence Research 55, 715-742, 2016 | 57 | 2016 |
| Irreflexive and hierarchical relations as translations A Bordes, N Usunier, A Garcia-Duran, J Weston, O Yakhnenko arXiv preprint arXiv:1304.7158, 2013 | 36 | 2013 |
| TransRev: Modeling Reviews as Translations from Users to Items A Garcia-Duran, R Gonzalez, D Onoro-Rubio, M Niepert, H Li Advances in Information Retrieval: 42nd European Conference on IR Research …, 2020 | 24 | 2020 |
| Knowledge graph completion to predict polypharmacy side effects B Malone, A García-Durán, M Niepert Data Integration in the Life Sciences: 13th International Conference, DILS …, 2019 | 22 | 2019 |
| Net2Vec: Deep learning for the network R Gonzalez, F Manco, A Garcia-Duran, J Mendes, F Huici, S Niccolini, ... Proceedings of the Workshop on Big Data Analytics and Machine Learning for …, 2017 | 22 | 2017 |
| Combining two and three-way embeddings models for link prediction in knowledge bases A Garcia-Duran, A Bordes, N Usunier, Y Grandvalet arXiv preprint arXiv:1506.00999, 2015 | 22 | 2015 |
| Learning representations of missing data for predicting patient outcomes B Malone, A Garcia-Duran, M Niepert arXiv preprint arXiv:1811.04752, 2018 | 15 | 2018 |
| Representation learning for visual-relational knowledge graphs D Oñoro-Rubio, M Niepert, A García-Durán, R González-Sánchez, ... arXiv preprint arXiv:1709.02314, 2017 | 15 | 2017 |
| Learning numerical attributes in knowledge bases B Kotnis, A García-Durán Automated Knowledge Base Construction (AKBC), 2019 | 12 | 2019 |
| A comparative study of distributional and symbolic paradigms for relational learning S Dumancic, A García-Durán, M Niepert arXiv preprint arXiv:1806.11391, 2018 | 12 | 2018 |
| Answering visual-relational queries in web-extracted knowledge graphs D Oñoro-Rubio, M Niepert, A García-Durán, R González, RJ López-Sastre arXiv preprint arXiv:1709.02314, 2017 | 9 | 2017 |
| Equipping data-driven experiment planning for Self-driving Laboratories with semantic memory: case studies of transfer learning in chemical reaction optimization R Hickman, J Ruža, L Roch, H Tribukait, A García-Durán | 8 | 2022 |
