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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.LG2024★ 1 cited
TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks
Yezi Liu, Yanning Shen
Training graph neural networks (GNNs) on large-scale graphs can be challenging due to the high computational expense caused by the massive number of nodes and high-dimensional noda…