Abstract: Health status (HS) assessment has important scientific significance and practical value to ensure safe equipment operation and reduce maintenance costs. Graph neural network-based methods ...

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The project investigates random-feature neural network (RFNN)-based solvers for wave-propagation problems with localized source excitations, with comparisons against finite-difference time-domain ...

Abstract: Graph Neural Networks (GNNs) have gained popularity in numerous domains, yet they are vulnerable to backdoor attacks that can compromise their performance and ethical application. The ...