Adversarial Attacks on Graph Neural Networks via Node Injections: A Hierarchical Reinforcement Learning Approach

Yiwei Sun
Yiwei Sun
Tsung-Yu Hsieh
Tsung-Yu Hsieh

WWW '20: The Web Conference 2020 Taipei Taiwan April, 2020, pp. 673-683, 2020.

Cited by: 4|Views34
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Abstract:

Graph Neural Networks (GNN) offer the powerful approach to node classification in complex networks across many domains including social media, E-commerce, and FinTech. However, recent studies show that GNNs are vulnerable to attacks aimed at adversely impacting their node classification performance. Existing studies of adversarial attacks...More

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