68 citations · 116 across the 5 of their papers we have counts for
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cs.LG2022
PyGFI: Analyzing and Enhancing Robustness of Graph Neural Networks Against Hardware Errors
Ruixuan Wang, Fred Lin, Daniel Moore +2
Graph neural networks (GNNs) have recently emerged as a promising learning paradigm in learning graph-structured data and have demonstrated wide success across various domains such…
cs.AR2022★ 16 cited
Detecting silent data corruptions in the wild
Harish Dattatraya Dixit, Laura Boyle, Gautham Vunnam +3
Silent Errors within hardware devices occur when an internal defect manifests in a part of the circuit which does not have check logic to detect the incorrect circuit operation. Th…