Differentially Private Graph Neural Network with Importance-Grained Noise Adaption

Yuxin Qi, Xi Lin, Jun Wu

Graph Neural Networks (GNNs) with differential privacy have been proposed to preserve graph privacy when nodes represent personal and sensitive information. However, the existing m…