Scalable attack on graph data by injecting vicious nodes

DOI10.1007/s10618-020-00696-7zbMath1455.68150arXiv2004.13825OpenAlexW3036202927WikidataQ114827245 ScholiaQ114827245MaRDI QIDQ2212510

Minnan Luo, Fnu Suya, Jundong Li, Jihong Wang, Qing Hua Zheng, Zi-Jiang Yang

Publication date: 23 November 2020

Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2004.13825

zbMATH Keywords

graph convolution networksscalable attackvicious nodes

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Graph theory (including graph drawing) in computer science (68R10) Computer security (68M25)

Uses Software

• GitHub
• FastGCN
• DeepWalk

Cites Work

• \({\mathcal Q}\)-learning
• Statistical fraud detection: a review
• PageRank optimization by edge selection
• Shortest-path network interdiction
• The network inhibition problem

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