GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation

Sina Sajadmanesh, Ali Shahin Shamsabadi, Aurélien Bellet +1

In this paper, we study the problem of learning Graph Neural Networks (GNNs) with Differential Privacy (DP). We propose a novel differentially private GNN based on Aggregation Pert…