| Data Augmentation for Fairness in Personal Knowledge Base Population LS Vannur, B Ganesan, L Nagalapatti, H Patel, MN Tippeswamy Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2021 …, 2021 | 29* | 2021 |
| Similar Cases Recommendation using Legal Knowledge Graphs JS Dhani, R Bhatt, B Ganesan, P Sirohi, V Bhatnagar 3rd Symposium on Artificial Intelligence and Law, 2023 | 27 | 2023 |
| Cognitive Compliance for Financial Regulations A Agarwal, B Ganesan, A Gupta, N Jain, HP Karanam, A Kumar, ... IT Professional 19 (4), 28-35, 2017 | 23 | 2017 |
| Fine Grained Classification of Personal Data Entities R Dasgupta, B Ganesan, A Kannan, B Reinwald, A Kumar arXiv preprint arXiv:1811.09368, 2018 | 17 | 2018 |
| Link Prediction using Graph Neural Networks for Master Data Management B Ganesan, S Parkala, NR Singh, S Bhatia, G Mishra, MA Pasha, H Patel, ... arXiv preprint arXiv:2003.04732, 2020 | 14 | 2020 |
| Neural-based ontology generation and refinement B Ganesan, R Dasgupta, A Parekh, H Patel, B Reinwald, S Mehta US Patent 11,520,986, 2022 | 10* | 2022 |
| Fine Grained Classification of Personal Data Entities with Language Models A Nagpal, R Dasgupta, B Ganesan 5th Joint International Conference on Data Science & Management of Data (9th …, 2022 | 10 | 2022 |
| Explainable Link Prediction for Privacy-Preserving Contact Tracing B Ganesan, H Patel, S Mehta ScipyFL Workshop at NeurIPS 2020, 2020 | 9 | 2020 |
| Anu Question Answering System B Ganesan, A Saha, J Sen, MA Pasha, S Bhatia, A Agarwal ISWC 2020 2721, 2020 | 6 | 2020 |
| Collective Learning From Diverse Datasets for Entity Typing in the Wild Abhishek, AP Azad, B Ganesan, A Anand, A Awekar EYRE Workshop at CIKM 2019, 2019 | 5* | 2019 |
| Short Text Clustering in Continuous Time Using Stacked Dirichlet-Hawkes Process with Inverse Cluster Frequency Prior A Saha, B Ganesan Proceedings of the 6th Joint International Conference on Data Science …, 2023 | 4 | 2023 |
| Towards Automated Evaluation of Explanations in Graph Neural Networks V BK, B Ganesan, A Saxena, D Sharma, A Agarwal XAI Workshop at ICML 2021, 2021 | 4* | 2021 |
| Fair Data Generation using Language Models with Hard Constraints SKM Islam, A Nagpal, B Ganesan, PK Lohia CtrlGen Workshop at NeurIPS 2021, 2021 | 3 | 2021 |
| An Integrated Graph Neural Network for Supervised Non-obvious Relationship Detection in Knowledge Graphs P Müller, X Qin, B Ganesan, N Sheikh, B Reinwald 23rd International Conference on Extending Database Technology, 379-382, 2020 | 3 | 2020 |
| Document structure aware Relation Extraction for Semantic Automation A Kumar, AM Shalghar, H Chauhan, B Ganesan, R Chaudhuri, A Kannan Proceedings of the 7th Joint International Conference on Data Science …, 2024 | 2* | 2024 |
| Automated Evaluation of GNN Explanations with Neuro Symbolic Reasoning VB Kumar, B Ganesan, M Ameen, D Sharma, A Agarwal NeurIPS 2021 Competitions and Demonstrations Track, 314-318, 2022 | 2 | 2022 |
| Reimagining GNN Explanations with ideas from Tabular Data A Singh, B Ganesan XAI Workshop at ICML 2021, 2021 | 2 | 2021 |
| A Framework for Agents Guiding Foundation Models through Knowledge and Reasoning D Bhattacharjya, J Lee, DJR Agravante, B Ganesan, R Marinescu International Joint Conference on Artificial Intelligence 2024, 2024 | 1* | 2024 |
| InLegalLLaMA: Indian Legal Knowledge Enhanced Large Language Models S Ghosh, D Verma, B Ganesan, P Bindal, V Kumar, V Bhatnagar International Joint Conference on Artificial Intelligence 2024, 2024 | 1* | 2024 |
| Infusing Knowledge into Large Language Models with Contextual Prompts K Vasisht, B Ganesan, V Kumar, V Bhatnagar 20th International Conference on Natural Language Processing, 2023 | 1 | 2023 |
Hima PatelSTSM, Research Manager at IBM ResearchVerified email at in.ibm.com