Sutanay Choudhury
Orcid: 0000-0001-7352-2035
According to our database1,
Sutanay Choudhury
authored at least 62 papers
between 2009 and 2024.
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Bibliography
2024
Acceleration of Graph Neural Network-Based Prediction Models in Chemistry via Co-Design Optimization on Intelligence Processing Units.
J. Chem. Inf. Model., March, 2024
ChemReasoner: Heuristic Search over a Large Language Model's Knowledge Space using Quantum-Chemical Feedback.
CoRR, 2024
GLaM: Fine-Tuning Large Language Models for Domain Knowledge Graph Alignment via Neighborhood Partitioning and Generative Subgraph Encoding.
CoRR, 2024
2023
Robust Explanations for Deep Neural Networks via Pseudo Neural Tangent Kernel Surrogate Models.
CoRR, 2023
MediSage: An AI Assistant for Healthcare via Composition of Neural-Symbolic Reasoning Operators.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023
Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
BitGNN: Unleashing the Performance Potential of Binary Graph Neural Networks on GPUs.
Proceedings of the 37th International Conference on Supercomputing, 2023
Monte Carlo Thought Search: Large Language Model Querying for Complex Scientific Reasoning in Catalyst Design.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
2022
Extreme Acceleration of Graph Neural Network-based Prediction Models for Quantum Chemistry.
CoRR, 2022
Reducing Down(stream)time: Pretraining Molecular GNNs using Heterogeneous AI Accelerators.
CoRR, 2022
Pseudo-Poincaré: A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks.
CoRR, 2022
CoRR, 2022
Graph Neural Network and Koopman Models for Learning Networked Dynamics: A Comparative Study on Power Grid Transients Prediction.
IEEE Access, 2022
Learning Distributed Geometric Koopman Operator for Sparse Networked Dynamical Systems.
Proceedings of the Learning on Graphs Conference, 2022
Attention-based aspect reasoning for knowledge base question answering on clinical notes.
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022
2021
Int. J. High Perform. Comput. Appl., 2021
Evening the Score: Targeting SARS-CoV-2 Protease Inhibition in Graph Generative Models for Therapeutic Candidates.
CoRR, 2021
Benchmarking Deep Graph Generative Models for Optimizing New Drug Molecules for COVID-19.
CoRR, 2021
Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Data-driven Distributed Learning of Multi-agent Systems: A Koopman Operator Approach.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Tracking the Evolution of COVID-19 via Temporal Comorbidity Analysis from Multi-Modal Data.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
HydroNet: Benchmark Tasks for Preserving Intermolecular Interactions and Structural Motifs in Predictive and Generative Models for Molecular Data.
CoRR, 2020
Model-Agnostic Algorithm for Real-Time Attack Identification in Power Grid using Koopman Modes.
Proceedings of the 2020 IEEE International Conference on Communications, 2020
2019
Snomed2Vec: Random Walk and Poincaré Embeddings of a Clinical Knowledge Base for Healthcare Analytics.
CoRR, 2019
CoRR, 2019
2018
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018
Proceedings of the 2018 Text Analysis Conference, 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017
When Labels Fall Short: Property Graph Simulation via Blending of Network Structure and Vertex Attributes.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Application-specific graph sampling for frequent subgraph mining and community detection.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
Trust from the past: Bayesian Personalized Ranking based Link Prediction in Knowledge Graphs.
CoRR, 2016
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016
Multi-centrality graph spectral decompositions and their application to cyber intrusion detection.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
2015
Proceedings of the 2015 Workshop on Automated Decision Making for Active Cyber Defense, 2015
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium Workshop, 2015
Proceedings of the 18th International Conference on Extending Database Technology, 2015
Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security, 2015
2014
Parallel Comput., 2014
Proceedings of the Third Workshop on Data analytics in the Cloud, 2014
Proceedings of the 3rd International Workshop on Big Data, 2014
Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014
Proceedings of the Cyber and Information Security Research Conference, 2014
2013
Proceedings of the First International Workshop on Graph Data Management Experiences and Systems, 2013
Proceedings of the Workshop on Dynamic Networks Management and Mining, 2013
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013
Toward a data scalable solution for facilitating discovery of scientific data resources.
Proceedings of the 2013 International Workshop on Data-Intensive Scalable Computing Systems, 2013
Proceedings of the 2013 IEEE International Conference on Intelligence and Security Informatics, 2013
2012
Scalable Triadic Analysis of Large-Scale Graphs: Multi-core vs. Multi-processor vs. Multi-threaded Shared Memory Architectures.
Proceedings of the IEEE 24th International Symposium on Computer Architecture and High Performance Computing, 2012
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012
2011
Evaluating In-Clique and Topological Parallelism Strategies for Junction Tree-Based Bayesian Network Inference Algorithm on the Cray XMT.
Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011
2010
Fault Detection in Distributed Climate Sensor Networks Using Dynamic Bayesian Networks.
Proceedings of the Sixth International Conference on e-Science, 2010
2009
Proceedings of the 23rd IEEE International Symposium on Parallel and Distributed Processing, 2009