Khushbu Agarwal

Orcid: 0000-0002-1892-2439

According to our database1, Khushbu Agarwal authored at least 29 papers between 2010 and 2024.

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Bibliography

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
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

A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
Pseudo-Poincaré: A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks.
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
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
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

2018
Percolator: Scalable Pattern Discovery in Dynamic Graphs.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

HyperThesis: Topological Hypothesis Management in a Hypergraph Knowledgebase.
Proceedings of the 2018 Text Analysis Conference, 2018

2017
High-Performance Data Analytics Beyond the Relational and Graph Data Models with GEMS.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

NOUS: Construction and Querying of Dynamic Knowledge Graphs.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2016
Trust from the past: Bayesian Personalized Ranking based Link Prediction in Knowledge Graphs.
CoRR, 2016

2015
A Selectivity based approach to Continuous Pattern Detection in Streaming Graphs.
Proceedings of the 18th International Conference on Extending Database Technology, 2015

Large Scale Frequent Pattern Mining Using MPI One-Sided Model.
Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

2014
Reveal: An Extensible Reduced-Order Model Builder for Simulation and Modeling.
Comput. Sci. Eng., 2014

Query Optimization for Dynamic Graphs.
CoRR, 2014

FNCS: a framework for power system and communication networks co-simulation.
Proceedings of the 2014 Spring Simulation Multiconference, 2014

Synchronization Algorithms for Co-simulation of Power Grid and Communication Networks.
Proceedings of the IEEE 22nd International Symposium on Modelling, 2014

2013
Scalable PGAS Metadata Management on Extreme Scale Systems.
Proceedings of the 13th IEEE/ACM International Symposium on Cluster, 2013

2011
Design and implementation of "many parallel task" hybrid subsurface model.
Proceedings of the 2011 ACM International Workshop on Many Task Computing on Grids and Supercomputers, 2011

Implementing High Performance Remote Method Invocation in CCA.
Proceedings of the 2011 IEEE International Conference on Cluster Computing (CLUSTER), 2011

2010
Machine learning based prediction for peptide drift times in ion mobility spectrometry.
Bioinform., 2010

Scalable Communication Trace Compression.
Proceedings of the 10th IEEE/ACM International Conference on Cluster, 2010


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