| RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural Network A Bastos, A Nadgeri, K Singh, IO Mulang, S Shekarpour, J Hoffart The Web Conference (WWW'21), 2021 | 138 | 2021 |
| Old is Gold: Linguistic Driven Approach for Entity and Relation Linking of Short Text A Sakor, IO Mulang', K Singh, S Shekarpour, ME Vidal, J Lehmann, ... NAACL-HLT, 2019 | 128 | 2019 |
| Evaluating the impact of knowledge graph context on entity disambiguation models IO Mulang', K Singh, C Prabhu, A Nadgeri, J Hoffart, J Lehmann Proceedings of the 29th ACM International Conference on Information …, 2020 | 89* | 2020 |
| CHOLAN: A Modular Approach for Neural Entity Linking on Wikipedia and Wikidata MPK Ravi, K Singh, IO Mulang', S Shekarpour, J Hoffart, J Lehmann EACL-2021 (Full Paper), 2021 | 65* | 2021 |
| Matching Natural Language Relations to Knowledge Graph Properties for Question Answering IO Mulang', K Singh, F Orlandi In proceedings of Semantics 2017, Amsterdam, Netherlands, 2017 | 55 | 2017 |
| Kgpool: Dynamic knowledge graph context selection for relation extraction A Nadgeri, A Bastos, K Singh, IO Mulang, J Hoffart, S Shekarpour, ... arXiv preprint arXiv:2106.00459, 2021 | 48 | 2021 |
| Capturing Knowledge in Semantically-typed Relational Patterns to Enhance Relation Linking K Singh, IO Mulang', M Yaser, A Sakor, ME Vidal, C Lange, S Auer Knowledge Capture (K-Cap 2017), 2017 | 42 | 2017 |
| Encoding Knowledge Graph Entity Aliases in Attentive Neural Network for Wikidata Entity Linking IO Mulang', K Singh, A Vyas, S Shekarpour, ME Vidal, S Auer, J Lehmann Web Information Systems Engineering (WISE 2020), 2020 | 27* | 2020 |
| Hopfe: Knowledge graph representation learning using inverse hopf fibrations A Bastos, K Singh, A Nadgeri, S Shekarpour, IO Mulang, J Hoffart Proceedings of the 30th ACM international conference on information …, 2021 | 26 | 2021 |
| How expressive are transformers in spectral domain for graphs? A Bastos, A Nadgeri, K Singh, H Kanezashi, T Suzumura, IO Mulang arXiv preprint arXiv:2201.09332, 2022 | 23 | 2022 |
| Team SVMrank: Leveraging Feature-rich Support Vector Machines for Ranking Explanations to Elementary Science Questions J D’Souza, IO Mulang', S Auer EMNLP | Proceedings of the Thirteenth Workshop on Graph-Based Methods for …, 2019 | 16* | 2019 |
| AI and the Future of Work in Africa White Paper J O'Neill, V Marivate, B Glover, W Karanu, GA Tadesse, A Gyekye, ... arXiv preprint arXiv:2411.10091, 2024 | 5 | 2024 |
| Sequential data-consistent model inversion T Rumbell, C Wanjiru, IO Mulang, S Obonyo, J Kozloski, V Gurev NeurIPS 2023 Workshop on Deep Learning and Inverse Problems, 2023 | 5 | 2023 |
| Automated supervised feature selection for differentiated patterns of care C Wanjiru, W Ogallo, GA Tadesse, C Wachira, IO Mulang, ... arXiv preprint arXiv:2111.03495, 2021 | 4 | 2021 |
| Fine-tuning BERT with Focus Words for Explanation Regeneration IO Mulang', J D’Souza, S Auer Proceedings of the Ninth Joint Conference on Lexical and Computational …, 2020 | 3 | 2020 |
| Ranking Facts for Explaining Answers to Elementary Science Questions J D'Souza, IO Mulang', S Auer https://www.doi.org/10.1017/S1351324921000358, 2022 | 2* | 2022 |
| Post-discovery analysis of anomalous subsets IO Mulang, W Ogallo, GA Tadesse, A Walcott-Bryant arXiv preprint arXiv:2111.14622, 2021 | 2 | 2021 |
| Feature Importance Random Search for Hyperparameter Optimization of Data-Consistent Model Inversion S Obonyo, MI Onando, R Timothy, W Catherine, V Gurev NeurIPS 2023 Workshop on Deep Learning and Inverse Problems, 2023 | | 2023 |
| Sparsity-based Feature Selection for Anomalous Subgroup Discovery GA Tadesse, W Ogallo, C Wanjiru, C Wachira, IO Mulang, V Anand, ... arXiv preprint arXiv:2201.02008, 2022 | | 2022 |
| Knowledge Context for Entity and Relation Linking IM Onando Universitäts-und Landesbibliothek Bonn, 2021 | | 2021 |
Kuldeep SinghDirector- Gen AI TechnologiesVerified email at cerence.com
