9 citations · 11 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 9 cited
GANI: Global Attacks on Graph Neural Networks via Imperceptible Node Injections
Junyuan Fang, Haixian Wen, Jiajing Wu +3
Graph neural networks (GNNs) have found successful applications in various graph-related tasks. However, recent studies have shown that many GNNs are vulnerable to adversarial atta…
cs.LG2020★ 2 cited
MG-GCN: Fast and Effective Learning with Mix-grained Aggregators for Training Large Graph Convolutional Networks
Tao Huang, Yihan Zhang, Jiajing Wu +2
Graph convolutional networks (GCNs) have been employed as a kind of significant tool on many graph-based applications recently. Inspired by convolutional neural networks (CNNs), GC…