LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference

The deployment of GCNs in the cloud raises privacy concerns due to potential adversarial attacks on client data. To address security concerns, Privacy-Preserving Machine Learning (PPML) using Homo-morphic Encryption (HE) secures sensitive client data.