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cs.LG2024
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…
cs.LG2024★ 1 cited
Continual Learning on Graphs: A Survey
Zonggui Tian, Du Zhang, Hong-Ning Dai
Recently, continual graph learning has been increasingly adopted for diverse graph-structured data processing tasks in non-stationary environments. Despite its promising learning c…