Prompt-based Unifying Inference Attack on Graph Neural Networks
Prompt-based Unifying Inference Attack on Graph Neural Networks
Graph neural networks (GNNs) provide important prospective insights in applications such as social behavior analysis and financial risk analysis based on their powerful learning capabilities on graph data. Nevertheless, GNNs' predictive performance relies on the quality of task-specific node labels, so it is common practice to improve the model's generalization …