Khushbu Agarwal
Orcid: 0000-0002-1892-2439
According to our database1,
Khushbu Agarwal
authored at least 30 papers
between 2010 and 2024.
Collaborative distances:
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On csauthors.net:
Bibliography
2024
Artificial Intelligence in Retail Marketing: Research Agenda Based on Bibliometric Reflection and Content Analysis (2000-2023).
Informatics, 2024
CHEMREASONER: Heuristic Search over a Large Language Model's Knowledge Space using Quantum-Chemical Feedback.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
GLaM: Fine-Tuning Large Language Models for Domain Knowledge Graph Alignment via Neighborhood Partitioning and Generative Subgraph Encoding.
Proceedings of the AAAI 2024 Spring Symposium Series, 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
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
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018
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
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
Proceedings of the 18th International Conference on Extending Database Technology, 2015
Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015
2014
Comput. Sci. Eng., 2014
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
Proceedings of the 13th IEEE/ACM International Symposium on Cluster, 2013
2011
Proceedings of the 2011 ACM International Workshop on Many Task Computing on Grids and Supercomputers, 2011
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
Proceedings of the 10th IEEE/ACM International Conference on Cluster, 2010