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05/31/2023
There is more to graphs than meets the eye: Learning universal features with self-supervision
We study the problem of learning universal features across multiple grap...
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03/20/2023
Uncertainty-aware deep learning for digital twin-driven monitoring: Application to fault detection in power lines
Deep neural networks (DNNs) are often coupled with physics-based models ...
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12/21/2022
Object detection-based inspection of power line insulators: Incipient fault detection in the low data-regime
Deep learning-based object detection is a powerful approach for detectin...
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06/16/2022
Challenges and Opportunities in Deep Reinforcement Learning with Graph Neural Networks: A Comprehensive review of Algorithms and Applications
Deep reinforcement learning (DRL) has empowered a variety of artificial ...
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05/20/2022
A General Framework for quantifying Aleatoric and Epistemic uncertainty in Graph Neural Networks
Graph Neural Networks (GNN) provide a powerful framework that elegantly ...
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12/26/2020
Graph neural network based approximation of Node Resiliency in complex networks
The emphasis on optimal operations and efficiency has led to increased c...
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08/21/2020
