| Parallel heuristics for scalable community detection H Lu, M Halappanavar, A Kalyanaraman, S Choudhury 2014 IEEE International Parallel & Distributed Processing Symposium …, 2014 | 246 | 2014 |
| System and methods for automated detection, reasoning and recommendations for resilient cyber systems S Choudhury, K Agarwal, PY Chen, I Ray US Patent 10855706B2, 2020 | 234 | 2020 |
| 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 | 134 | 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 | 104* | 2015 |
| Snomed2Vec: Random Walk and Poincaré Embeddings of a Clinical Knowledge Base for Healthcare Analytics K Agarwal, T Eftimov, R Addanki, S Choudhury, S Tamang, R Rallo 2019 KDD Workshop on Applied Data Science for Healthcare (DSHealth '19), 2019 | 89* | 2019 |
| 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 | 65 | 2017 |
| 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 | 59 | 2021 |
| Multi-centrality graph spectral decompositions and their application to cyber intrusion detection PY Chen, S Choudhury, AO Hero 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 52 | 2016 |
| Frequent subgraph discovery in large attributed streaming graphs A Ray, L Holder, S Choudhury Proceedings of the 3rd international workshop on big data, streams and …, 2014 | 42 | 2014 |
| 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 |
| Massive scale cyber traffic analysis: a driver for graph database research C Joslyn, S Choudhury, D Haglin, B Howe, B Nickless, B Olsen First International Workshop on Graph Data Management Experiences and …, 2013 | 34 | 2013 |
| Streamworks: a system for dynamic graph search S Choudhury, L Holder, G Chin, A Ray, S Beus, J Feo Proceedings of the 2013 ACM SIGMOD International Conference on Management of …, 2013 | 32 | 2013 |
| A chronological edge-driven approach to temporal subgraph isomorphism P Mackey, K Porterfield, E Fitzhenry, S Choudhury, G Chin 2018 IEEE international conference on big data (big data), 3972-3979, 2018 | 30 | 2018 |
| 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 | 28 | 2020 |
| A look inside the black box: Using graph-theoretical descriptors to interpret a Continuous-Filter Convolutional Neural Network (CF-CNN) trained on the global and local minimum … JA Bilbrey, JP Heindel, M Schram, P Bandyopadhyay, SS Xantheas, ... The Journal of Chemical Physics 153 (2), 2020 | 28 | 2020 |
| Action recommendation for cyber resilience S Choudhury, L Rodriguez, D Curtis, K Oler, P Nordquist, PY Chen, I Ray Proceedings of the 2015 Workshop on Automated Decision Making for Active …, 2015 | 27* | 2015 |
| 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 | 19 | 2022 |
| Scaling semantic graph databases in size and performance A Morari, VG Castellana, O Villa, A Tumeo, J Weaver, D Haglin, ... IEEE Micro 34 (4), 16-26, 2014 | 19 | 2014 |
| Implementing and evaluating multithreaded triad census algorithms on the Cray XMT G Chin, A Marquez, S Choudhury, K Maschhoff 2009 IEEE International Symposium on Parallel & Distributed Processing, 1-9, 2009 | 18 | 2009 |
| 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 | 17* | 2022 |
Lawrence HolderWashington State UniversityVerified email at wsu.edu
