Safeguarding Graph Neural Networks against Topology Inference Attacks

Jie Fu, Yuan Hong, Zhili Chen +1

Graph Neural Networks (GNNs) have emerged as powerful models for learning from graph-structured data. However, their widespread adoption has raised serious privacy concerns. While…