Attacking Graph Convolutional Networks via Rewiring

CoRR, 2019.

Cited by: 17|Views40
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Abstract:

Graph Neural Networks (GNNs) have boosted the performance of many graph related tasks such as node classification and graph classification. Recent researches show that graph neural networks are vulnerable to adversarial attacks, which deliberately add carefully created unnoticeable perturbation to the graph structure. The perturbation i...More

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