Private Graphon Estimation for Sparse Graphs ∗

Neural Information Processing Systems 

Given a sparse input graph G, our algorithms output a node-differentially private nonparametric block model approximation. By node-differentially private, we mean that our output hides the insertion or removal of a vertex and all its adjacent edges.