27 citations · 40 across the 4 of their papers we have counts for
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cs.SI2020
MGA: Momentum Gradient Attack on Network
Jinyin Chen, Yixian Chen, Haibin Zheng +4
The adversarial attack methods based on gradient information can adequately find the perturbations, that is, the combinations of rewired links, thereby reducing the effectiveness o…
cs.SI2019★ 6 cited
Unsupervised Euclidean Distance Attack on Network Embedding
Shanqing Yu, Jun Zheng, Jinhuan Wang +6
Considering the wide application of network embedding methods in graph data mining, inspired by the adversarial attack in deep learning, this paper proposes a Genetic Algorithm (GA…
cs.SI2019★ 27 cited
E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction
Jinyin Chen, Jian Zhang, Xuanheng Xu +4
Predicting the potential relations between nodes in networks, known as link prediction, has long been a challenge in network science. However, most studies just focused on link pre…