| System and methods for automated detection, reasoning and recommendations for resilient cyber systems S Choudhury, K Agarwal, PY Chen, I Ray US Patent 10,855,706, 2020 | 251 | 2020 |
| FNCS: A framework for power system and communication networks co-simulation S Ciraci, J Daily, J Fuller, A Fisher, L Marinovici, K Agarwal Proceedings of the symposium on theory of modeling & simulation-DEVS …, 2014 | 167 | 2014 |
| Performance and usability enhancements for continuous subgraph matching queries on graph-structured data S Choudhury, G Chin, K Agarwal, SJ Beus US Patent 10,810,210, 2020 | 150 | 2020 |
| A selectivity based approach to continuous pattern detection in streaming graphs S Choudhury, L Holder, G Chin, K Agarwal, J Feo arXiv preprint arXiv:1503.00849, 2015 | 108 | 2015 |
| Self-supervised learning of contextual embeddings for link prediction in heterogeneous networks P Wang, K Agarwal, C Ham, S Choudhury, CK Reddy Proceedings of the web conference 2021, 2946-2957, 2021 | 71 | 2021 |
| Nous: Construction and querying of dynamic knowledge graphs S Choudhury, K Agarwal, S Purohit, B Zhang, M Pirrung, W Smith, ... 2017 IEEE 33rd International Conference on Data Engineering (ICDE), 1563-1565, 2017 | 63 | 2017 |
| Machine learning based prediction for peptide drift times in ion mobility spectrometry AR Shah, K Agarwal, ES Baker, M Singhal, AM Mayampurath, YM Ibrahim, ... Bioinformatics 26 (13), 1601-1607, 2010 | 50 | 2010 |
| Trust from the past: Bayesian personalized ranking based link prediction in knowledge graphs B Zhang, S Choudhury, MA Hasan, X Ning, K Agarwal, S Purohit, ... arXiv preprint arXiv:1601.03778, 2016 | 35 | 2016 |
| Model-agnostic algorithm for real-time attack identification in power grid using Koopman modes SP Nandanoori, S Kundu, S Pal, K Agarwal, S Choudhury 2020 IEEE International Conference on Communications, Control, and Computing …, 2020 | 34 | 2020 |
| Identification of novel, replicable genetic risk loci for suicidal thoughts and behaviors among US military veterans NA Kimbrel, AE Ashley-Koch, XJ Qin, JH Lindquist, ME Garrett, ... JAMA psychiatry 80 (2), 135-145, 2023 | 28 | 2023 |
| Graph neural network and Koopman models for learning networked dynamics: A comparative study on power grid transients prediction SP Nandanoori, S Guan, S Kundu, S Pal, K Agarwal, Y Wu, S Choudhury IEEE Access 10, 32337-32349, 2022 | 28 | 2022 |
| Hybrid multiscale simulation of a mixing-controlled reaction TD Scheibe, K Schuchardt, K Agarwal, J Chase, X Yang, BJ Palmer, ... Advances in Water Resources 83, 228-239, 2015 | 28 | 2015 |
| Snomed2Vec: Random Walk and Poincar\'e Embeddings of a Clinical Knowledge Base for Healthcare Analytics K Agarwal, T Eftimov, R Addanki, S Choudhury, S Tamang, R Rallo arXiv preprint arXiv:1907.08650, 2019 | 26 | 2019 |
| Synchronization algorithms for co-simulation of power grid and communication networks S Ciraci, J Daily, K Agarwal, J Fuller, L Marinovici, A Fisher 2014 IEEE 22nd international symposium on modelling, analysis & simulation …, 2014 | 23 | 2014 |
| Scalable communication trace compression S Krishnamoorthy, K Agarwal 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid …, 2010 | 21 | 2010 |
| Preparing for the next pandemic via transfer learning from existing diseases with hierarchical multi-modal BERT: a study on COVID-19 outcome prediction K Agarwal, S Choudhury, S Tipirneni, P Mukherjee, C Ham, S Tamang, ... Scientific reports 12 (1), 10748, 2022 | 18* | 2022 |
| A general approach to develop reduced order models for simulation of solid oxide fuel cell stacks W Pan, J Bao, C Lo, K Lai, K Agarwal, BJ Koeppel, M Khaleel Journal of power sources 232, 139-151, 2013 | 17 | 2013 |
| ChemReasoner: Heuristic search over a large language model's knowledge space using quantum-chemical feedback HW Sprueill, C Edwards, K Agarwal, MV Olarte, U Sanyal, C Johnston, ... arXiv preprint arXiv:2402.10980, 2024 | 11 | 2024 |
| Glam: Fine-tuning large language models for domain knowledge graph alignment via neighborhood partitioning and generative subgraph encoding S Dernbach, K Agarwal, A Zuniga, M Henry, S Choudhury Proceedings of the AAAI Symposium Series 3 (1), 82-89, 2024 | 10 | 2024 |
| Data-driven distributed learning of multi-agent systems: A koopman operator approach SP Nandanoori, S Pal, S Sinha, S Kundu, K Agarwal, S Choudhury 2021 60th IEEE Conference on Decision and Control (CDC), 5059-5066, 2021 | 10 | 2021 |
Sutanay ChoudhuryPacific Northwest National LaboratoryVerified email at pnnl.gov
