9 citations · 43 across the 14 of their papers we have counts for
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cs.LG2020★ 2 cited
Slimmable Generative Adversarial Networks
Liang Hou, Zehuan Yuan, Lei Huang +3
Generative adversarial networks (GANs) have achieved remarkable progress in recent years, but the continuously growing scale of models makes them challenging to deploy widely in pr…
cs.LG2020
Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification
Bingbing Xu, Junjie Huang, Liang Hou +3
Graph neural networks (GNNs) achieve remarkable success in graph-based semi-supervised node classification, leveraging the information from neighboring nodes to improve the represe…
cs.LG2020★ 9 cited
Adversarial Immunization for Certifiable Robustness on Graphs
Shuchang Tao, Huawei Shen, Qi Cao +2
Despite achieving strong performance in semi-supervised node classification task, graph neural networks (GNNs) are vulnerable to adversarial attacks, similar to other deep learning…