2025
Structure-Aware Spectral Sparsification via Uniform Edge Sampling
NeurIPS 2025poster
Spectral clustering is a fundamental method for graph partitioning, but its reliance on eigenvector computation limits scalability to massive graphs. Classical sparsification methods preserve spectral properties by sampling edges proportionally to their effective resistances, but require expensive p…