2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.SI2021
Null Model-Based Data Augmentation for Graph Classification
Qi Xuan, Zeyu Wang, Jinhuan Wang +3
In network science, the null model is typically used to generate a series of graphs based on randomization as a term of comparison to verify whether a network in question displays…
cs.SI2021★ 1 cited
DeepInsight: Interpretability Assisting Detection of Adversarial Samples on Graphs
Junhao Zhu, Yalu Shan, Jinhuan Wang +3
With the rapid development of artificial intelligence, a number of machine learning algorithms, such as graph neural networks have been proposed to facilitate network analysis or g…
cs.SI2020★ 2 cited
Adversarial Attacks to Scale-Free Networks: Testing the Robustness of Physical Criteria
Qi Xuan, Yalu Shan, Jinhuan Wang +2
Adversarial attacks have been alerting the artificial intelligence community recently, since many machine learning algorithms were found vulnerable to malicious attacks. This paper…