A Survey of Adversarial Learning on Graphs

10 Mar 2020Liang ChenJintang LiJiaying PengTao XieZengxu CaoKun XuXiangnan HeZibin Zheng

Deep learning models on graphs have achieved remarkable performance in various graph analysis tasks, e.g., node classification, link prediction and graph clustering. However, they expose uncertainty and unreliability against the well-designed inputs, i.e., adversarial examples... (read more)

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