7 citations · 11 across the 2 of their papers we have counts for
3 papers
stat.ML2021★ 7 cited
Adversarial Attacks on Graph Classification via Bayesian Optimisation
Xingchen Wan, Henry Kenlay, Binxin Ru +3
Graph neural networks, a popular class of models effective in a wide range of graph-based learning tasks, have been shown to be vulnerable to adversarial attacks. While the majorit…
cs.LG2021★ 4 cited
Interpretable Stability Bounds for Spectral Graph Filters
Henry Kenlay, Dorina Thanou, Xiaowen Dong
Graph-structured data arise in a variety of real-world context ranging from sensor and transportation to biological and social networks. As a ubiquitous tool to process graph-struc…
cs.LG2020
On the Stability of Graph Convolutional Neural Networks under Edge Rewiring
Henry Kenlay, Dorina Thanou, Xiaowen Dong
Graph neural networks are experiencing a surge of popularity within the machine learning community due to their ability to adapt to non-Euclidean domains and instil inductive biase…