Khushbu Agarwal

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 24

Top Topics

Symbolic Reasoning

Frequent Pattern Mining

Top Venues

IPDPS Workshops

Comput. Sci. Eng.

Publications

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)
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)
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)
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)
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)
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)
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)
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)
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)
Sutanay Choudhury, Sumit Purohit, Peng Lin, Yinghui Wu, Lawrence B. Holder, Khushbu Agarwal
Percolator: Scalable Pattern Discovery in Dynamic Graphs. WSDM (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)
Vito Giovanni Castellana, Marco Minutoli, Shreyansh Bhatt, Khushbu Agarwal, Arthur Bleeker, John Feo, Daniel G. Chavarría-Miranda, David J. Haglin
High-Performance Data Analytics Beyond the Relational and Graph Data Models with GEMS. IPDPS Workshops (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)
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)
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)
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)
Abhinav Vishnu, Khushbu Agarwal
Large Scale Frequent Pattern Mining Using MPI One-Sided Model. CLUSTER (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)
Selim Ciraci, Jeff A. Daily, Khushbu Agarwal, Jason C. Fuller, Laurentiu Marinovici, Andrew Fisher
Synchronization Algorithms for Co-simulation of Power Grid and Communication Networks. MASCOTS (2014)
Selim Ciraci, Jeff A. Daily, Jason C. Fuller, Andrew Fisher, Laurentiu Marinovici, Khushbu Agarwal
FNCS: a framework for power system and communication networks co-simulation. SpringSim (TMS-DEVS) (2014)
Khushbu Agarwal, Sharma Poorva, Jinliang Ma, Chaomei Lo, Ian Gorton, Yan Liu
Reveal: An Extensible Reduced-Order Model Builder for Simulation and Modeling. Comput. Sci. Eng. 16 (2) (2014)
Daniel G. Chavarría-Miranda, Khushbu Agarwal, Tjerk P. Straatsma
Scalable PGAS Metadata Management on Extreme Scale Systems. CCGRID (2013)
Jian Yin, Khushbu Agarwal, Manoj Krishnan, Daniel G. Chavarría-Miranda, Ian Gorton, Tom Epperly
Implementing High Performance Remote Method Invocation in CCA. CLUSTER (2011)
Khushbu Agarwal, Jared M. Chase, Karen L. Schuchardt, Timothy D. Scheibe, Bruce J. Palmer, Todd O. Elsethagen
Design and implementation of "many parallel task" hybrid subsurface model. MTAGS@SC (2011)
Sriram Krishnamoorthy, Khushbu Agarwal
Scalable Communication Trace Compression. CCGRID (2010)
Anuj R. Shah, Khushbu Agarwal, Erin S. Baker, Mudita Singhal, Anoop M. Mayampurath, Yehia M. Ibrahim, Lars J. Kangas, Matthew E. Monroe, Rui Zhao, Mikhail E. Belov, Gordon A. Anderson, Richard D. Smith
Machine learning based prediction for peptide drift times in ion mobility spectrometry. Bioinform. 26 (13) (2010)