120 citations · 142 across the 3 of their papers we have counts for
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cs.SI2026★ 120 cited
Attention-based graph neural networks: a survey
Chengcheng Sun, Chenhao Li, Xiang Lin +4
Graph neural networks (GNNs) aim to learn well-trained representations in a lower-dimension space for downstream tasks while preserving the topological structures. In recent years,…
cs.SI2019★ 21 cited
Can Adversarial Network Attack be Defended?
Jinyin Chen, Yangyang Wu, Xiang Lin +1
Machine learning has been successfully applied to complex network analysis in various areas, and graph neural networks (GNNs) based methods outperform others. Recently, adversarial…