Graph structure learning for robust graph neural networks

W Jin, Y Ma, X Liu, X Tang, S Wang… - Proceedings of the 26th …, 2020 - dl.acm.org
Graph Neural Networks (GNNs) are powerful tools in representation learning for graphs.
However, recent studies show that GNNs are vulnerable to carefully-crafted perturbations …
被引用次数：670 相关文章

Graph Structure Learning for Robust Graph Neural Networks

W Jin, Y Ma, X Liu, X Tang, S Wang, J Tang - arXiv preprint arXiv …, 2020 - arxiv.org
Graph Neural Networks (GNNs) are powerful tools in representation learning for graphs.
However, recent studies show that GNNs are vulnerable to carefully-crafted perturbations …

Graph Structure Learning for Robust Graph Neural Networks

W Jin, Y Ma, X Liu, X Tang, S Wang… - 26th ACM SIGKDD …, 2020 - pure.psu.edu
Abstract Graph Neural Networks (GNNs) are powerful tools in representation learning for
graphs. However, recent studies show that GNNs are vulnerable to carefully-crafted …

Graph Structure Learning for Robust Graph Neural Networks

W Jin, Y Ma, X Liu, X Tang, S Wang, J Tang - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
Abstract Graph Neural Networks (GNNs) are powerful tools in representation learning for
graphs. However, recent studies show that GNNs are vulnerable to carefully-crafted …
[PDF] researchgate.net

[PDF][PDF] Graph Structure Learning for Robust Graph Neural Networks

W Jin, Y Ma, X Liu, X Tang, S Wang, J Tang - Growth, 2020 - researchgate.net
ABSTRACT Graph Neural Networks (GNNs) are powerful tools in representation learning for
graphs. However, recent studies show that GNNs are vulnerable to carefully-crafted …

Graph Structure Learning for Robust Graph Neural Networks

W Jin, Y Ma, X Liu, X Tang, S Wang, J Tang - cse.msu.edu
Graph Structure Learning for Robust Graph Neural Networks Page 1 Graph Structure Learning
for Robust Graph Neural Networks Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang …

Graph Structure Learning for Robust Graph Neural Networks

W Jin, Y Ma, X Liu, X Tang, S Wang… - 26th ACM SIGKDD …, 2020 - researchwith.njit.edu
Abstract Graph Neural Networks (GNNs) are powerful tools in representation learning for
graphs. However, recent studies show that GNNs are vulnerable to carefully-crafted …

Graph Structure Learning for Robust Graph Neural Networks

W Jin, Y Ma, X Liu, X Tang, S Wang, J Tang - pdfs.semanticscholar.org
Graph Structure Learning for Robust Graph Neural Networks Page 1 Graph Structure Learning
for Robust Graph Neural Networks Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang …
[PDF] swarma.org

[PDF][PDF] Graph Structure Learning for Robust Graph Neural Networks

W Jin, Y Ma, X Liu, X Tang, S Wang, J Tang - Growth, 2020 - qiniu.pattern.swarma.org
ABSTRACT Graph Neural Networks (GNNs) are powerful tools in representation learning for
graphs. However, recent studies show that GNNs are vulnerable to carefully-crafted …

Graph Structure Learning for Robust Graph Neural Networks

W Jin, Y Ma, X Liu, X Tang, S Wang… - 2020 ACM SIGKDD …, 2020 - par.nsf.gov
ABSTRACT Graph Neural Networks (GNNs) are powerful tools in representation learning for
graphs. However, recent studies show that GNNs are vulnerable to carefully-crafted …