most citedADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2024

OpenViewer: Openness-Aware Multi-View Learning

Shide Du, Zihan Fang, Yanchao Tan +3

Multi-view learning methods leverage multiple data sources to enhance perception by mining correlations across views, typically relying on predefined categories. However, deploying…

cs.LG2024★ 1 cited

ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks

Zhaoliang Chen, Zhihao Wu, Ylli Sadikaj +5

Although Graph Neural Networks (GNNs) have exhibited the powerful ability to gather graph-structured information from neighborhood nodes via various message-passing mechanisms, the…