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Abstract: Adversarial attacks can fool powerful graph neural networks by subtly modifying input data's graph topology or node attributes. Attackers usually regard the whole graph or local subgraphs as ...

Abstract: The paper aims to identify the kind of joints and bolts in the most efficient way possible. A comparative study has been performed with and without edge detection where a Convolution Neural ...