Security graphs are becoming indispensable for understanding system access and network activity and empowering security teams ...

Graph embedding, aiming to learn low-dimensional representations (aka. embeddings) of nodes in graphs, has received significant attention. In recent years, there has been a surge of efforts, among ...

Dear Editor, This letter addresses the critical challenge of preserving privacy in graph learning without compromising on data utility. Differential privacy (DP) is emerging as an effective method for ...