Sutanay Choudhury

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 50

Top Topics

Community Detection

Top Venues

IPDPS Workshops

Proc. VLDB Endow.

Publications

Andrew Engel, Zhichao Wang, Natalie Frank, Ioana Dumitriu, Sutanay Choudhury, Anand D. Sarwate, Tony Chiang
Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models. ICLR (2024)
Stefan Dernbach, Khushbu Agarwal, Alejandro Zuniga, Michael Henry, Sutanay Choudhury
GLaM: Fine-Tuning Large Language Models for Domain Knowledge Graph Alignment via Neighborhood Partitioning and Generative Subgraph Encoding. AAAI Spring Symposia (2024)
Stefan Dernbach, Khushbu Agarwal, Alejandro Zuniga, Michael Henry, Sutanay Choudhury
GLaM: Fine-Tuning Large Language Models for Domain Knowledge Graph Alignment via Neighborhood Partitioning and Generative Subgraph Encoding. CoRR (2024)
Hongwu Peng, Caiwen Ding, Tong Geng, Sutanay Choudhury, Kevin J. Barker, Ang Li
Evaluating Emerging AI/ML Accelerators: IPU, RDU, and NVIDIA/AMD GPUs. ICPE (Companion) (2024)
Henry W. Sprueill, Carl Edwards, Khushbu Agarwal, Mariefel V. Olarte, Udishnu Sanyal, Conrad Johnston, Hongbin Liu, Heng Ji, Sutanay Choudhury
ChemReasoner: Heuristic Search over a Large Language Model's Knowledge Space using Quantum-Chemical Feedback. CoRR (2024)
Hatem Helal, Jesun Firoz, Jenna A. Bilbrey, Henry Sprueill, Kristina M. Herman, Mario Michael Krell, Tom Murray, Manuel Lopez Roldan, Mike Kraus, Ang Li, Payel Das, Sotiris S. Xantheas, Sutanay Choudhury
Acceleration of Graph Neural Network-Based Prediction Models in Chemistry via Co-Design Optimization on Intelligence Processing Units. J. Chem. Inf. Model. 64 (5) (2024)
Henry W. Sprueill, Carl Edwards, Mariefel V. Olarte, Udishnu Sanyal, Heng Ji, Sutanay Choudhury
Monte Carlo Thought Search: Large Language Model Querying for Complex Scientific Reasoning in Catalyst Design. CoRR (2023)
Jou-An Chen, Hsin-Hsuan Sung, Xipeng Shen, Sutanay Choudhury, Ang Li
BitGNN: Unleashing the Performance Potential of Binary Graph Neural Networks on GPUs. ICS (2023)
Sutanay Choudhury, Khushbu Agarwal, Colby Ham, Suzanne Tamang
MediSage: An AI Assistant for Healthcare via Composition of Neural-Symbolic Reasoning Operators. WWW (Companion Volume) (2023)
Mehrdad Khatir, Nurendra Choudhary, Sutanay Choudhury, Khushbu Agarwal, Chandan K. Reddy
A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks. IJCAI (2023)
Logan T. Ward, J. Gregory Pauloski, Valérie Hayot-Sasson, Ryan Chard, Yadu N. Babuji, Ganesh Sivaraman, Sutanay Choudhury, Kyle Chard, Rajeev Thakur, Ian T. Foster
Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources. CoRR (2023)
Jou-An Chen, Hsin-Hsuan Sung, Xipeng Shen, Sutanay Choudhury, Ang Li
BitGNN: Unleashing the Performance Potential of Binary Graph Neural Networks on GPUs. CoRR (2023)
Logan T. Ward, J. Gregory Pauloski, Valérie Hayot-Sasson, Ryan Chard, Yadu N. Babuji, Ganesh Sivaraman, Sutanay Choudhury, Kyle Chard, Rajeev Thakur, Ian T. Foster
Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources. IPDPS Workshops (2023)
Hongwu Peng, Caiwen Ding, Tong Geng, Sutanay Choudhury, Kevin J. Barker, Ang Li
Evaluating Emerging AI/ML Accelerators: IPU, RDU, and NVIDIA/AMD GPUs. CoRR (2023)
Andrew Engel, Zhichao Wang, Natalie S. Frank, Ioana Dumitriu, Sutanay Choudhury, Anand D. Sarwate, Tony Chiang
Robust Explanations for Deep Neural Networks via Pseudo Neural Tangent Kernel Surrogate Models. CoRR (2023)
Henry Sprueill, Carl Edwards, Mariefel V. Olarte, Udishnu Sanyal, Heng Ji, Sutanay Choudhury
Monte Carlo Thought Search: Large Language Model Querying for Complex Scientific Reasoning in Catalyst Design. EMNLP (Findings) (2023)
Andrew Engel, Zhichao Wang, Anand D. Sarwate, Sutanay Choudhury, Tony Chiang
TorchNTK: A Library for Calculation of Neural Tangent Kernels of PyTorch Models. CoRR (2022)
Sai Pushpak Nandanoori, Sheng Guan, Soumya Kundu, Seemita Pal, Khushbu Agarwal, Yinghui Wu, Sutanay Choudhury
Graph Neural Network and Koopman Models for Learning Networked Dynamics: A Comparative Study on Power Grid Transients Prediction. CoRR (2022)
Mehrdad Khatir, Nurendra Choudhary, Sutanay Choudhury, Khushbu Agarwal, Chandan K. Reddy
Pseudo-Poincaré: A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks. CoRR (2022)
Jenna A. Bilbrey, Kristina M. Herman, Henry Sprueill, Sotiris S. Xantheas, Payel Das, Manuel Lopez Roldan, Mike Kraus, Hatem Helal, Sutanay Choudhury
Reducing Down(stream)time: Pretraining Molecular GNNs using Heterogeneous AI Accelerators. CoRR (2022)
Sai Pushpak Nandanoori, Sheng Guan, Soumya Kundu, Seemita Pal, Khushbu Agarwal, Yinghui Wu, Sutanay Choudhury
Graph Neural Network and Koopman Models for Learning Networked Dynamics: A Comparative Study on Power Grid Transients Prediction. IEEE Access 10 (2022)
Ping Wang, Tian Shi, Khushbu Agarwal, Sutanay Choudhury, Chandan K. Reddy
Attention-based aspect reasoning for knowledge base question answering on clinical notes. BCB (2022)
Hatem Helal, Jesun Firoz, Jenna A. Bilbrey, Mario Michael Krell, Tom Murray, Ang Li, Sotiris S. Xantheas, Sutanay Choudhury
Extreme Acceleration of Graph Neural Network-based Prediction Models for Quantum Chemistry. CoRR (2022)
Sayak Mukherjee, Sai Pushpak Nandanoori, Sheng Guan, Khushbu Agarwal, Subhrajit Sinha, Soumya Kundu, Seemita Pal, Yinghui Wu, Draguna L. Vrabie, Sutanay Choudhury
Learning Distributed Geometric Koopman Operator for Sparse Networked Dynamical Systems. LoG (2022)
Sutanay Choudhury, Khushbu Agarwal, Colby Ham, Pritam Mukherjee, Siyi Tang, Sindhu Tipirneni, Veysel Kocaman, Suzanne Tamang, Robert Rallo, Chandan K. Reddy
Tracking the Evolution of COVID-19 via Temporal Comorbidity Analysis from Multi-Modal Data. AMIA (2021)
Sheng Guan, Hanchao Ma, Sutanay Choudhury, Yinghui Wu
GEDet: Detecting Erroneous Nodes with A Few Examples. Proc. VLDB Endow. 14 (12) (2021)
Jenna A. Bilbrey, Logan T. Ward, Sutanay Choudhury, Neeraj Kumar, Ganesh Sivaraman
Evening the Score: Targeting SARS-CoV-2 Protease Inhibition in Graph Generative Models for Therapeutic Candidates. CoRR (2021)
Sai Pushpak Nandanoori, Seemita Pal, Subhrajit Sinha, Soumya Kundu, Khushbu Agarwal, Sutanay Choudhury
Data-driven Distributed Learning of Multi-agent Systems: A Koopman Operator Approach. CDC (2021)
Francis J. Alexander, James Ang, Jenna A. Bilbrey, Jan Balewski, Tiernan Casey, Ryan Chard, Jong Choi, Sutanay Choudhury, Bert J. Debusschere, Anthony M. DeGennaro, Nikoli Dryden, J. Austin Ellis, Ian T. Foster, Cristina Garcia-Cardona, Sayan Ghosh, Peter Harrington, Yunzhi Huang, Shantenu Jha, Travis Johnston, Ai Kagawa, Ramakrishnan Kannan, Neeraj Kumar, Zhengchun Liu, Naoya Maruyama, Satoshi Matsuoka, Erin McCarthy, Jamaludin Mohd-Yusof, Peter Nugent, Yosuke Oyama, Thomas Proffen, David Pugmire, Sivasankaran Rajamanickam, Vinay Ramakrishniah, Malachi Schram, Sudip K. Seal, Ganesh Sivaraman, Christine Sweeney, Li Tan, Rajeev Thakur, Brian Van Essen, Logan T. Ward, Paul M. Welch, Michael Wolf, Sotiris S. Xantheas, Kevin G. Yager, Shinjae Yoo, Byung-Jun Yoon
Co-design Center for Exascale Machine Learning Technologies (ExaLearn). Int. J. High Perform. Comput. Appl. 35 (6) (2021)
Logan T. Ward, Jenna A. Bilbrey, Sutanay Choudhury, Neeraj Kumar, Ganesh Sivaraman
Benchmarking Deep Graph Generative Models for Optimizing New Drug Molecules for COVID-19. CoRR (2021)
Ping Wang, Tian Shi, Khushbu Agarwal, Sutanay Choudhury, Chandan K. Reddy
Attention-based Aspect Reasoning for Knowledge Base Question Answering on Clinical Notes. CoRR (2021)
Ping Wang, Khushbu Agarwal, Colby Ham, Sutanay Choudhury, Chandan K. Reddy
Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks. WWW (2021)
Sai Pushpak Nandanoori, Soumya Kundu, Seemita Pal, Khushbu Agarwal, Sutanay Choudhury
Model-Agnostic Algorithm for Real-Time Attack Identification in Power Grid using Koopman Modes. SmartGridComm (2020)
Ping Wang, Khushbu Agarwal, Colby Ham, Sutanay Choudhury, Chandan K. Reddy
Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks. CoRR (2020)
Sutanay Choudhury, Jenna A. Bilbrey, Logan T. Ward, Sotiris S. Xantheas, Ian T. Foster, Joseph P. Heindel, Ben Blaiszik, Marcus E. Schwarting
HydroNet: Benchmark Tasks for Preserving Intermolecular Interactions and Structural Motifs in Predictive and Generative Models for Molecular Data. CoRR (2020)
Sai Pushpak Nandanoori, Soumya Kundu, Seemita Pal, Khushbu Agarwal, Sutanay Choudhury
Model-Agnostic Algorithm for Real-Time Attack Identification in Power Grid using Koopman Modes. CoRR (2020)
Khushbu Agarwal, Tome Eftimov, Raghavendra Addanki, Sutanay Choudhury, Suzanne Tamang, Robert Rallo
Snomed2Vec: Random Walk and Poincaré Embeddings of a Clinical Knowledge Base for Healthcare Analytics. CoRR (2019)
Pin-Yu Chen, Sutanay Choudhury, Luke Rodriguez, Alfred O. Hero III, Indrajit Ray
Enterprise Cyber Resiliency Against Lateral Movement: A Graph Theoretic Approach. CoRR (2019)
Patrick Mackey, Katherine Porterfield, Erin Fitzhenry, Sutanay Choudhury, George Chin Jr.
A Chronological Edge-Driven Approach to Temporal Subgraph Isomorphism. IEEE BigData (2018)
Sutanay Choudhury, Sumit Purohit, Peng Lin, Yinghui Wu, Lawrence B. Holder, Khushbu Agarwal
Percolator: Scalable Pattern Discovery in Dynamic Graphs. WSDM (2018)
Patrick Mackey, Katherine Porterfield, Erin Fitzhenry, Sutanay Choudhury, George Chin Jr.
A Chronological Edge-Driven Approach to Temporal Subgraph Isomorphism. CoRR (2018)
Cliff A. Joslyn, Michael Robinson, J. Smart, Khushbu Agarwal, David Bridgeland, Adam Brown, Sutanay Choudhury, Brett A. Jefferson, Brenda Praggastis, Emilie Purvine, William P. Smith, Dimitri Zarzhitsky
HyperThesis: Topological Hypothesis Management in a Hypergraph Knowledgebase. TAC (2018)
Arun V. Sathanur, Sutanay Choudhury, Cliff A. Joslyn, Sumit Purohit
When Labels Fall Short: Property Graph Simulation via Blending of Network Structure and Vertex Attributes. CoRR (2017)
Arun V. Sathanur, Sutanay Choudhury, Cliff A. Joslyn, Sumit Purohit
When Labels Fall Short: Property Graph Simulation via Blending of Network Structure and Vertex Attributes. CIKM (2017)
Sutanay Choudhury, Khushbu Agarwal, Sumit Purohit, Baichuan Zhang, Meg Pirrung, William P. Smith, Mathew Thomas
NOUS: Construction and Querying of Dynamic Knowledge Graphs. ICDE (2017)
Sumit Purohit, Sutanay Choudhury, Lawrence B. Holder
Application-specific graph sampling for frequent subgraph mining and community detection. IEEE BigData (2017)
Sutanay Choudhury, Khushbu Agarwal, Sumit Purohit, Baichuan Zhang, Meg Pirrung, William P. Smith, Mathew Thomas
NOUS: Construction and Querying of Dynamic Knowledge Graphs. CoRR (2016)
Charalampos Chelmis, Sutanay Choudhury, Arindam Pal, Anand V. Panangadan, Weiqin Tong, Yinglong Xia
ParLearning Introduction and Committees. IPDPS Workshops (2016)
Pin-Yu Chen, Sutanay Choudhury, Alfred O. Hero III
Multi-centrality graph spectral decompositions and their application to cyber intrusion detection. ICASSP (2016)
Baichuan Zhang, Sutanay Choudhury, Mohammad Al Hasan, Xia Ning, Khushbu Agarwal, Sumit Purohit, Paola Gabriela Pesntez Cabrera
Trust from the past: Bayesian Personalized Ranking based Link Prediction in Knowledge Graphs. CoRR (2016)
Luke Rodriguez, Darren S. Curtis, Sutanay Choudhury, Kiri Oler, Peter Nordquist, Pin-Yu Chen, Indrajit Ray
DEMO: Action Recommendation for Cyber Resilience. CCS (2015)
Sutanay Choudhury, Arindam Pal, Anand V. Panangadan, Yinglong Xia
ParLearning Introduction and Committees. IPDPS Workshops (2015)
Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., Khushbu Agarwal, John Feo
A Selectivity based approach to Continuous Pattern Detection in Streaming Graphs. EDBT (2015)
Pin-Yu Chen, Sutanay Choudhury, Alfred O. Hero III
Multi-centrality Graph Spectral Decompositions and their Application to Cyber Intrusion Detection. CoRR (2015)
Sutanay Choudhury, Luke Rodriguez, Darren S. Curtis, Kiri Oler, Peter Nordquist, Pin-Yu Chen, Indrajit Ray
Action Recommendation for Cyber Resilience. SafeConfig@CCS (2015)
Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., Khushbu Agarwal, John Feo
A Selectivity based approach to Continuous Pattern Detection in Streaming Graphs. CoRR (2015)
Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., Patrick Mackey, Khushbu Agarwal, John Feo
Query Optimization for Dynamic Graphs. CoRR (2014)
Alessandro Morari, Vito Giovanni Castellana, Oreste Villa, Antonino Tumeo, Jesse Weaver, David Haglin, Sutanay Choudhury, John Feo
Scaling Semantic Graph Databases in Size and Performance. IEEE Micro 34 (4) (2014)
Michael D. Lieberman, Sutanay Choudhury, Marisa Hughes, Dennis Patrone, Robert T. Hider Jr., Christine D. Piatko, Matthew Chapman, J. P. Marple, David Silberberg
Parasol: An Architecture for Cross-Cloud Federated Graph Querying. DanaC@SIGMOD (2014)
Jesse Weaver, Vito Giovanni Castellana, Alessandro Morari, Antonino Tumeo, Sumit Purohit, Alan R. Chappell, David Haglin, Oreste Villa, Sutanay Choudhury, Karen Schuchardt, John Feo
Toward a data scalable solution for facilitating discovery of science resources. Parallel Comput. 40 (10) (2014)
Sutanay Choudhury, Chase Dowling
Benchmarking Named Entity Disambiguation approaches for Streaming Graphs. CoRR (2014)
George Chin Jr., Sutanay Choudhury, John Feo, Lawrence B. Holder
Predicting and detecting emerging cyberattack patterns using StreamWorks. CISR (2014)
Hao Lu, Mahantesh Halappanavar, Ananth Kalyanaraman, Sutanay Choudhury
Parallel Heuristics for Scalable Community Detection. IPDPS Workshops (2014)
Abhik Ray, Larry Holder, Sutanay Choudhury
Frequent Subgraph Discovery in Large Attributed Streaming Graphs. BigMine (2014)
Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., Abhik Ray, Sherman Beus, John Feo
StreamWorks - A system for Dynamic Graph Search. CoRR (2013)
Sutanay Choudhury, Lawrence B. Holder, John Feo, George Chin Jr.
Fast search for dynamic multi-relational graphs. DyNetMM@SIGMOD (2013)
Alan R. Chappell, Sutanay Choudhury, John Feo, David J. Haglin, Alessandro Morari, Sumit Purohit, Karen Schuchardt, Antonino Tumeo, Jesse Weaver, Oreste Villa
Toward a data scalable solution for facilitating discovery of scientific data resources. DISCS@SC (2013)
Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., John Feo
Fast Search for Dynamic Multi-Relational Graphs. CoRR (2013)
Mahantesh Halappanavar, Sutanay Choudhury, Emilie Hogan, Peter Hui, John R. Johnson, Indrajit Ray, Lawrence B. Holder
Towards a network-of-networks framework for cyber security. ISI (2013)
Cliff A. Joslyn, Sutanay Choudhury, David Haglin, Bill Howe, Bill Nickless, Bryan Olsen
Massive scale cyber traffic analysis: a driver for graph database research. GRADES (2013)
Sutanay Choudhury, George Chin Jr., Yinglong Xia
ParLearning Introduction. IPDPS Workshops (2013)
Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., Abhik Ray, Sherman Beus, John Feo
StreamWorks: a system for dynamic graph search. SIGMOD Conference (2013)
Mahantesh Halappanavar, Sutanay Choudhury, Emilie Hogan, Peter Hui, John R. Johnson, Indrajit Ray, Lawrence B. Holder
Towards a Networks-of-Networks Framework for Cyber Security CoRR (2013)
George Chin Jr., Andrès Márquez, Sutanay Choudhury, John Feo
Scalable Triadic Analysis of Large-Scale Graphs: Multi-Core vs. Multi- Processor vs. Multi-Threaded Shared Memory Architectures. CoRR (2012)
Sutanay Choudhury, George Chin Jr., Yinglong Xia
ParLearning Introduction. IPDPS Workshops (2012)
Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., John Feo
Large-scale continuous subgraph queries on streams CoRR (2012)
George Chin Jr., Andrès Márquez, Sutanay Choudhury, John Feo
Scalable Triadic Analysis of Large-Scale Graphs: Multi-core vs. Multi-processor vs. Multi-threaded Shared Memory Architectures. SBAC-PAD (2012)
George Chin Jr., Sutanay Choudhury, Lars Kangas, Sally McFarlane, Andrès Márquez
Evaluating In-Clique and Topological Parallelism Strategies for Junction Tree-Based Bayesian Network Inference Algorithm on the Cray XMT. IPDPS Workshops (2011)
George Chin Jr., Sutanay Choudhury, Lars Kangas, Sally McFarlane, Andrès Márquez
Fault Detection in Distributed Climate Sensor Networks Using Dynamic Bayesian Networks. eScience (2010)
Anuj R. Shah, Joshua N. Adkins, Douglas J. Baxter, William R. Cannon, Daniel G. Chavarría-Miranda, Sutanay Choudhury, Ian Gorton, Deborah K. Gracio, Todd D. Halter, Navdeep Jaitly, John R. Johnson, Richard T. Kouzes, Matthew C. Macduff, Andrès Márquez, Matthew E. Monroe, Christopher S. Oehmen, William A. Pike, Chad Scherrer, Oreste Villa, Bobbie-Jo M. Webb-Robertson, Paul D. Whitney, Nino Zuljevic
Applications in Data-Intensive Computing. Adv. Comput. 79 (2010)
George Chin Jr., Andrès Márquez, Sutanay Choudhury, Kristyn J. Maschhoff
Implementing and evaluating multithreaded triad census algorithms on the Cray XMT. IPDPS (2009)