2026
Adapting to Evolving Graphs: A Scalable Framework for Dynamic Coarsening
ICML 2026poster
Graph coarsening is a fundamental dimensionality reduction technique for scaling large graphs while preserving structural and feature information. However, most existing coarsening methods are designed for static graphs and do not extend well to dynamic settings where nodes, edges, and connectivity …