Understanding Sparsification in Graph Neural Networks
October 19, 2025 • Research Note
A hybrid perspective on spectral, topological, and learning-based sparsification strategies for deploying reliable and efficient graph neural networks—outlining evaluation metrics, open questions, and the roadmap for the Tremplin Recherche project.
GNN
Sparsification
Efficiency
Robustness