57 citations · 127 across the 8 of their papers we have counts for
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cs.SI2019★ 5 cited
A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models
Heng Chang, Yu Rong, Tingyang Xu +5
With the great success of graph embedding model on both academic and industry area, the robustness of graph embedding against adversarial attack inevitably becomes a central proble…
cs.LG2019★ 7 cited
Power up! Robust Graph Convolutional Network via Graph Powering
Ming Jin, Heng Chang, Wenwu Zhu +1
Graph convolutional networks (GCNs) are powerful tools for graph-structured data. However, they have been recently shown to be vulnerable to topological attacks. To enhance adversa…