Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding
Hierarchy is an important and commonly observed topological property in real-world graphs that indicate the relationships between supervisors and subordinates or the organizational behavior of human groups. As hierarchy is introduced as a new inductive bias into the Graph Neural Networks (GNNs) in various tasks, it implies latent topological relations …