Sai Munikoti
Orcid: 0000-0002-1205-7405
According to our database1,
Sai Munikoti
authored at least 23 papers
between 2019 and 2023.
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Bibliography
2023
A general framework for quantifying aleatoric and epistemic uncertainty in graph neural networks.
Neurocomputing, 2023
ATLANTIC: Structure-Aware Retrieval-Augmented Language Model for Interdisciplinary Science.
CoRR, 2023
Empirical evaluation of Uncertainty Quantification in Retrieval-Augmented Language Models for Science.
CoRR, 2023
Evaluating the Effectiveness of Retrieval-Augmented Large Language Models in Scientific Document Reasoning.
CoRR, 2023
CoRR, 2023
CoRR, 2023
There is more to graphs than meets the eye: Learning universal features with self-supervision.
CoRR, 2023
Latent Neural ODE for Integrating Multi-timescale measurements in Smart Distribution Grids.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2023
2022
Scalable graph neural network-based framework for identifying critical nodes and links in complex networks.
Neurocomputing, 2022
Challenges and Opportunities in Deep Reinforcement Learning with Graph Neural Networks: A Comprehensive review of Algorithms and Applications.
CoRR, 2022
GraMeR: Graph Meta Reinforcement Learning for Multi-Objective Influence Maximization.
CoRR, 2022
Robustness of Power Distribution System: A Comparative Study of Network and Performance Based Metrics.
IEEE Access, 2022
2021
Robustness assessment of Hetero-functional graph theory based model of interdependent urban utility networks.
Reliab. Eng. Syst. Saf., 2021
An Information Theoretic approach to identify Dominant Voltage Influencers for Unbalanced Distribution Systems.
CoRR, 2021
Bayesian Graph Neural Network for Fast identification of critical nodes in Uncertain Complex Networks.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
2020
CoRR, 2020
Spatio-Temporal Probabilistic Voltage Sensitivity Analysis (ST-PVSA)-A Novel Framework for Hosting Capacity Analysis.
CoRR, 2020
Probabilistic Voltage Sensitivity Analysis (PVSA) to Quantify Impact of High PV Penetration on Unbalanced Distribution System.
CoRR, 2020
CoRR, 2020
Probabilistic Voltage Sensitivity based Preemptive Voltage Monitoring in Unbalanced Distribution Networks.
CoRR, 2020
2019
IEEE Trans. Ind. Informatics, 2019