2026
On the trade-off between expressivity and privacy in graph representation learning
ICLR 2026poster
We investigate the trade-off between expressive power and privacy guarantees in graph representation learning. Privacy-preserving machine learning faces growing regulatory demands that pose a fundamental challenge: safeguarding sensitive data while maintaining expressive power. To address this chall…