Khushbu Agarwal

40 papers A* 4A 1B 4C 2Misc 1Journal 18Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Beyond Protein Language Models: An Agentic LLM Framework for Mechanistic Enzyme Design. CoRR Bruno Jacob, Khushbu Agarwal, Marcel Baer, Peter Rice, Simone Raugei
2024	J	`jnl`	Artificial Intelligence in Retail Marketing: Research Agenda Based on Bibliometric Reflection and Content Analysis (2000-2023). Informatics Ahasanul Haque, Naznin Akther, Irfanuzzaman Khan, Khushbu Agarwal, Nazim Uddin
2024	A*	`conf`	CHEMREASONER: Heuristic Search over a Large Language Model's Knowledge Space using Quantum-Chemical Feedback. ICML Henry W. Sprueill, Carl Edwards, Khushbu Agarwal, Mariefel V. Olarte, Udishnu Sanyal, Conrad Johnston, Hongbin Liu, Heng Ji, Sutanay Choudhury
2024	J	`jnl`	ChemReasoner: Heuristic Search over a Large Language Model's Knowledge Space using Quantum-Chemical Feedback. CoRR Henry W. Sprueill, Carl Edwards, Khushbu Agarwal, Mariefel V. Olarte, Udishnu Sanyal, Conrad Johnston, Hongbin Liu, Heng Ji, Sutanay Choudhury
2024	—	`conf`	GLaM: Fine-Tuning Large Language Models for Domain Knowledge Graph Alignment via Neighborhood Partitioning and Generative Subgraph Encoding. AAAI Spring Symposia Stefan Dernbach, Khushbu Agarwal, Alejandro Zuniga, Michael Henry, Sutanay Choudhury
2024	J	`jnl`	GLaM: Fine-Tuning Large Language Models for Domain Knowledge Graph Alignment via Neighborhood Partitioning and Generative Subgraph Encoding. CoRR Stefan Dernbach, Khushbu Agarwal, Alejandro Zuniga, Michael Henry, Sutanay Choudhury
2024	J	`jnl`	Thinking Fast and Laterally: Multi-Agentic Approach for Reasoning about Uncertain Emerging Events. CoRR Stefan Dernbach, Alejandro Michel, Khushbu Agarwal, Christopher Brissette, Geetika Gupta, Sutanay Choudhury
2023	A*	`conf`	A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks. IJCAI Mehrdad Khatir, Nurendra Choudhary, Sutanay Choudhury, Khushbu Agarwal, Chandan K. Reddy
2023	—	`conf`	MediSage: An AI Assistant for Healthcare via Composition of Neural-Symbolic Reasoning Operators. WWW (Companion Volume) Sutanay Choudhury, Khushbu Agarwal, Colby Ham, Suzanne Tamang
2022	—	`conf`	Attention-based aspect reasoning for knowledge base question answering on clinical notes. BCB Ping Wang, Tian Shi, Khushbu Agarwal, Sutanay Choudhury, Chandan K. Reddy
2022	J	`jnl`	Graph Neural Network and Koopman Models for Learning Networked Dynamics: A Comparative Study on Power Grid Transients Prediction. IEEE Access Sai Pushpak Nandanoori, Sheng Guan, Soumya Kundu, Seemita Pal, Khushbu Agarwal, Yinghui Wu, Sutanay Choudhury
2022	J	`jnl`	Graph Neural Network and Koopman Models for Learning Networked Dynamics: A Comparative Study on Power Grid Transients Prediction. CoRR Sai Pushpak Nandanoori, Sheng Guan, Soumya Kundu, Seemita Pal, Khushbu Agarwal, Yinghui Wu, Sutanay Choudhury
2022	—	`conf`	Learning Distributed Geometric Koopman Operator for Sparse Networked Dynamical Systems. LoG Sayak Mukherjee, Sai Pushpak Nandanoori, Sheng Guan, Khushbu Agarwal, Subhrajit Sinha, Soumya Kundu, Seemita Pal, Yinghui Wu, Draguna L. Vrabie, Sutanay Choudhury
2022	J	`jnl`	Pseudo-Poincaré: A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks. CoRR Mehrdad Khatir, Nurendra Choudhary, Sutanay Choudhury, Khushbu Agarwal, Chandan K. Reddy
2021	J	`jnl`	Attention-based Aspect Reasoning for Knowledge Base Question Answering on Clinical Notes. CoRR Ping Wang, Tian Shi, Khushbu Agarwal, Sutanay Choudhury, Chandan K. Reddy
2021	—	`conf`	Data-driven Distributed Learning of Multi-agent Systems: A Koopman Operator Approach. CDC Sai Pushpak Nandanoori, Seemita Pal, Subhrajit Sinha, Soumya Kundu, Khushbu Agarwal, Sutanay Choudhury
2021	A*	`conf`	Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks. WWW Ping Wang, Khushbu Agarwal, Colby Ham, Sutanay Choudhury, Chandan K. Reddy
2021	Misc	`conf`	Tracking the Evolution of COVID-19 via Temporal Comorbidity Analysis from Multi-Modal Data. AMIA Sutanay Choudhury, Khushbu Agarwal, Colby Ham, Pritam Mukherjee, Siyi Tang, Sindhu Tipirneni, Veysel Kocaman, Suzanne Tamang, Robert Rallo, Chandan K. Reddy
2020	—	`conf`	Model-Agnostic Algorithm for Real-Time Attack Identification in Power Grid using Koopman Modes. SmartGridComm Sai Pushpak Nandanoori, Soumya Kundu, Seemita Pal, Khushbu Agarwal, Sutanay Choudhury
2020	J	`jnl`	Model-Agnostic Algorithm for Real-Time Attack Identification in Power Grid using Koopman Modes. CoRR Sai Pushpak Nandanoori, Soumya Kundu, Seemita Pal, Khushbu Agarwal, Sutanay Choudhury
2020	J	`jnl`	Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks. CoRR Ping Wang, Khushbu Agarwal, Colby Ham, Sutanay Choudhury, Chandan K. Reddy
2019	J	`jnl`	Snomed2Vec: Random Walk and Poincaré Embeddings of a Clinical Knowledge Base for Healthcare Analytics. CoRR Khushbu Agarwal, Tome Eftimov, Raghavendra Addanki, Sutanay Choudhury, Suzanne Tamang, Robert Rallo
2018	—	`conf`	HyperThesis: Topological Hypothesis Management in a Hypergraph Knowledgebase. TAC 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
2018	A	`conf`	Percolator: Scalable Pattern Discovery in Dynamic Graphs. WSDM Sutanay Choudhury, Sumit Purohit, Peng Lin, Yinghui Wu, Lawrence B. Holder, Khushbu Agarwal
2017	—	`conf`	High-Performance Data Analytics Beyond the Relational and Graph Data Models with GEMS. IPDPS Workshops Vito Giovanni Castellana, Marco Minutoli, Shreyansh Bhatt, Khushbu Agarwal, Arthur Bleeker, John Feo, Daniel G. Chavarría-Miranda, David J. Haglin
2017	A*	`conf`	NOUS: Construction and Querying of Dynamic Knowledge Graphs. ICDE Sutanay Choudhury, Khushbu Agarwal, Sumit Purohit, Baichuan Zhang, Meg Pirrung, William P. Smith, Mathew Thomas
2016	J	`jnl`	NOUS: Construction and Querying of Dynamic Knowledge Graphs. CoRR Sutanay Choudhury, Khushbu Agarwal, Sumit Purohit, Baichuan Zhang, Meg Pirrung, William P. Smith, Mathew Thomas
2016	J	`jnl`	Trust from the past: Bayesian Personalized Ranking based Link Prediction in Knowledge Graphs. CoRR Baichuan Zhang, Sutanay Choudhury, Mohammad Al Hasan, Xia Ning, Khushbu Agarwal, Sumit Purohit, Paola Gabriela Pesntez Cabrera
2015	B	`conf`	A Selectivity based approach to Continuous Pattern Detection in Streaming Graphs. EDBT Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., Khushbu Agarwal, John Feo
2015	J	`jnl`	A Selectivity based approach to Continuous Pattern Detection in Streaming Graphs. CoRR Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., Khushbu Agarwal, John Feo
2015	C	`conf`	Large Scale Frequent Pattern Mining Using MPI One-Sided Model. CLUSTER Abhinav Vishnu, Khushbu Agarwal
2014	—	`conf`	FNCS: a framework for power system and communication networks co-simulation. SpringSim (TMS-DEVS) Selim Ciraci, Jeff A. Daily, Jason C. Fuller, Andrew Fisher, Laurentiu Marinovici, Khushbu Agarwal
2014	J	`jnl`	Query Optimization for Dynamic Graphs. CoRR Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., Patrick Mackey, Khushbu Agarwal, John Feo
2014	J	`jnl`	Reveal: An Extensible Reduced-Order Model Builder for Simulation and Modeling. Comput. Sci. Eng. Khushbu Agarwal, Sharma Poorva, Jinliang Ma, Chaomei Lo, Ian Gorton, Yan Liu
2014	B	`conf`	Synchronization Algorithms for Co-simulation of Power Grid and Communication Networks. MASCOTS Selim Ciraci, Jeff A. Daily, Khushbu Agarwal, Jason C. Fuller, Laurentiu Marinovici, Andrew Fisher
2013	B	`conf`	Scalable PGAS Metadata Management on Extreme Scale Systems. CCGRID Daniel G. Chavarría-Miranda, Khushbu Agarwal, Tjerk P. Straatsma
2011	—	`conf`	Design and implementation of "many parallel task" hybrid subsurface model. MTAGS@SC Khushbu Agarwal, Jared M. Chase, Karen L. Schuchardt, Timothy D. Scheibe, Bruce J. Palmer, Todd O. Elsethagen
2011	C	`conf`	Implementing High Performance Remote Method Invocation in CCA. CLUSTER Jian Yin, Khushbu Agarwal, Manoj Krishnan, Daniel G. Chavarría-Miranda, Ian Gorton, Tom Epperly
2010	J	`jnl`	Machine learning based prediction for peptide drift times in ion mobility spectrometry. Bioinform. 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
2010	B	`conf`	Scalable Communication Trace Compression. CCGRID Sriram Krishnamoorthy, Khushbu Agarwal