27 citations · 34 across the 4 of their papers we have counts for
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cs.LG2024
Gradient Inversion Attack on Graph Neural Networks
Divya Anand Sinha, Ruijie Du, Yezi Liu +2
Graph federated learning is of essential importance for training over large graph datasets while protecting data privacy, where each client stores a subset of local graph data, whi…
cs.LG2022★ 7 cited
Explaining Dynamic Graph Neural Networks via Relevance Back-propagation
Jiaxuan Xie, Yezi Liu, Yanning Shen
Graph Neural Networks (GNNs) have shown remarkable effectiveness in capturing abundant information in graph-structured data. However, the black-box nature of GNNs hinders users fro…