A Cross-Domain Adversarial-Resilient Graph Reduction Framework for Robust GNN-Based Node Classification
Graph Neural Networks (GNNs) have demonstrated good results in graph structured data applications like node classification and representational learning. Although these models are successful, recent research demonstrates that these models are very susceptible to adversarial attacks. Even minor changes in the structure...