518 citations · 1.6k across the 16 of their papers we have counts for
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cs.LG2023★ 44 cited
Learning Strong Graph Neural Networks with Weak Information
Yixin Liu, Kaize Ding, Jianling Wang +3
Graph Neural Networks (GNNs) have exhibited impressive performance in many graph learning tasks. Nevertheless, the performance of GNNs can deteriorate when the input graph data suf…
cs.LG2023
Unlearnable Graph: Protecting Graphs from Unauthorized Exploitation
Yixin Liu, Chenrui Fan, Pan Zhou +1
While the use of graph-structured data in various fields is becoming increasingly popular, it also raises concerns about the potential unauthorized exploitation of personal data fo…
cs.LG2023
Securing Biomedical Images from Unauthorized Training with Anti-Learning Perturbation
Yixin Liu, Haohui Ye, Kai Zhang +1
The volume of open-source biomedical data has been essential to the development of various spheres of the healthcare community since more `free' data can provide individual researc…