HOVER: Homophilic Oversampling via Edge Removal for Class-Imbalanced Bot Detection on Graphs
HOVER: Homophilic Oversampling via Edge Removal for Class-Imbalanced Bot Detection on Graphs
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DOI：
10.1145/3583780.3615264
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发表时间：
2023-10
期刊：
影响因子：
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通讯作者：
Bradley Ashmore;Lingwei Chen
中科院分区：
文献类型：
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作者：
Bradley Ashmore;Lingwei Chen
由于恶意机器人驻留在网络中破坏网络稳定性，图神经网络（GNN）已成为最流行的机器人检测方法之一。然而，在大多数情况下，这些图是显着的类不平衡。为了解决这个问题，
As malicious bots reside in a network to disrupt network stability, graph neural networks (GNNs) have emerged as one of the most popular bot detection methods. However, in most cases these graphs are significantly class-imbalanced. To address this issue,