| Logical neural networks R Riegel, A Gray, F Luus, N Khan, N Makondo, IY Akhalwaya, H Qian, ... arXiv preprint arXiv:2006.13155, 2020 | 153 | 2020 |
| Leveraging abstract meaning representation for knowledge base question answering P Kapanipathi, I Abdelaziz, S Ravishankar, S Roukos, A Gray, R Astudillo, ... arXiv preprint arXiv:2012.01707, 2020 | 117* | 2020 |
| LNN-EL: A neuro-symbolic approach to short-text entity linking H Jiang, S Gurajada, Q Lu, S Neelam, L Popa, P Sen, Y Li, A Gray arXiv preprint arXiv:2106.09795, 2021 | 24 | 2021 |
| QUEST: An exploratory approach to robust query processing A Dutt, S Neelam, JR Haritsa Proceedings of the VLDB Endowment 7 (13), 1585-1588, 2014 | 14 | 2014 |
| Sygma: System for generalizable modular question answering overknowledge bases S Neelam, U Sharma, H Karanam, S Ikbal, P Kapanipathi, I Abdelaziz, ... arXiv preprint arXiv:2109.13430, 2021 | 12 | 2021 |
| Logical neural networks (2020) R Riegel, A Gray, F Luus, N Khan, N Makondo, IY Akhalwaya, H Qian, ... arXiv preprint arXiv:2006.13155, 2006 | 12 | 2006 |
| A benchmark for generalizable and interpretable temporal question answering over knowledge bases S Neelam, U Sharma, H Karanam, S Ikbal, P Kapanipathi, I Abdelaziz, ... arXiv preprint arXiv:2201.05793, 2022 | 9 | 2022 |
| Logical neural networks, CoRR abs/2006.13155 (2020) R Riegel, AG Gray, FPS Luus, N Khan, N Makondo, IY Akhalwaya, H Qian, ... URL: https://arxiv. org/abs/2006 13155, 2020 | 6 | 2020 |
| Schema-free in-graph indexing SB Jagannath, S Lakshminarasimhan, S Mehta, S Neelam US Patent 10,394,788, 2019 | 4 | 2019 |
| Scalable Reasoning Infrastructure for Large Scale Knowledge Bases. HP Karanam, S Neelam, U Sharma, S Bhatia, S Bedathur, ... ISWC (P&D/Industry/BlueSky), 2018 | 3 | 2018 |
| Expressive Reasoning Graph Store: A Unified Framework for Managing RDF and Property Graph Databases S Neelam, U Sharma, S Bhatia, H Karanam, A Likhyani, I Abdelaziz, ... arXiv preprint arXiv:2209.05828, 2022 | 1 | 2022 |
| System and method for approximate reasoning using ontologies and unstructured data HP Karanam, SI Mohamed, S Bhatia, S Neelam, LV Subramaniam, ... US Patent 11,443,213, 2022 | 1 | 2022 |
| Targeted extraction of temporal facts from textual resources for improved temporal question answering over knowledge bases N Kannen, U Sharma, S Neelam, D Khandelwal, S Ikbal, H Karanam, ... arXiv preprint arXiv:2203.11054, 2022 | 1 | 2022 |
| Design and implementation techniques for plan bouquet S Neelam Master’s thesis, Database Systems Lab, Indian Institute of Science …, 2014 | 1 | 2014 |
| Self-Supervised Rule Learning to Link Text Segments to Relational Elements of Structured Knowledge S Ikbal, U Sharma, H Karanam, S Neelam, R Luss, D Sreedhar, ... Findings of the Association for Computational Linguistics: EMNLP 2023, 1707-1718, 2023 | | 2023 |
| Best of Both Worlds: Towards Improving Temporal Knowledge Base Question Answering via Targeted Fact Extraction N Kannen, U Sharma, S Neelam, D Khandelwal, S Ikbal, H Karanam, ... Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | | 2023 |
| Extracting query-related temporal information from unstructured text documents U Sharma, HP Karanam, SI Mohamed, S Neelam, S Srivastava, ... US Patent App. 17/543,127, 2023 | | 2023 |
| Partitioning and parallel loading of property graphs with constraints S Neelam, HP Karanam, U Sharma, SI Mohamed, S Srivastava, ... US Patent App. 17/537,854, 2023 | | 2023 |
