AI RESEARCH
Spectral Graph Sparsification Preserves Representation Geometry in Graph Neural Networks
arXiv CS.LG
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ArXi:2605.01136v1 Announce Type: new Spectral graph sparsification is a classical tool for reducing graph complexity while preserving Laplacian quadratic forms. In graph neural networks (GNNs), sparsification is often used to accelerate computation while maintaining predictive performance.