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Topology-preserving Graph Coarsening: An Elementary Collapse-based Approach

Summary: Proposes Graph Elementary Collapse (GEC): extends elementary collapse from algebraic topology to graph coarsening to guarantee homotopy-equivalence, preserving connectivity, cycles and higher-order topological features. Adds scalable optimizations and shows improved topology-preserving coarsening for GNN prediction tasks versus cut/spectral methods. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13719
Venue
VLDB
Year
2024
Pagerank
-
Overall Rank
13,174 | 8.36%
DOI
10.14778/3704965.3704981

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7,446 QTCS: Efficient Query-Centered Temporal Community Search 2024 VLDB 4.727813e-05
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