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Label flipping adversarial attack on graph neural network

To expand the adversarial attack types of graph neural networks and fill the relevant research gaps, label flipping attack methods were proposed to evaluate the robustness of graph neural network aimed at label noise.The effectiveness mechanisms of adversarial attacks were summarized as three basic...

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Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Yiteng WU, Wei LIU, Hongtao YU
Formatua: Artigo
Hizkuntza:Chinês
Argitaratua: Editorial Department of Journal on Communications 2021-09-01
Saila:Tongxin xuebao
Gaiak:
Sarrera elektronikoa:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021167/
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