Preserving Node-level Privacy in Graph Neural Networks

Zihang Xiang, Tianhao Wang, Di Wang

Differential privacy (DP) has seen immense applications in learning on tabular, image, and sequential data where instance-level privacy is concerned. In learning on graphs, contras…