2 papers
cs.LG2024
RW-NSGCN: A Robust Approach to Structural Attacks via Negative Sampling
Shuqi He, Jun Zhuang, Ding Wang +1
Node classification using Graph Neural Networks (GNNs) has been widely applied in various practical scenarios, such as predicting user interests and detecting communities in social…
cs.LG2024
Enhancing the Resilience of Graph Neural Networks to Topological Perturbations in Sparse Graphs
Shuqi He, Jun Zhuang, Ding Wang +2
Graph neural networks (GNNs) have been extensively employed in node classification. Nevertheless, recent studies indicate that GNNs are vulnerable to topological perturbations, suc…