DBScholar

Back to papers

Demystifying Graph Sparsification Algorithms in Graph Properties Preservation

Summary: Systematically benchmarks 12 sparsifiers across 16 graph metrics and 14 real-world graphs. Reveals strong property-dependent tradeoffs—no universal sparsifier preserves both structural distances and downstream GNN behavior—and releases an extensible evaluation framework. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
13822
Venue
VLDB
Year
2024
Pagerank
5.4703528e-05
Overall Rank
8,187 | 43.84%
DOI
10.14778/3632093.3632106

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{chen_vldb24,
        title = {{Demystifying Graph Sparsification Algorithms in Graph Properties Preservation}},
        author = {Chen, Yuhan and Ye, Haojie and Vedula, Sanketh and Bronstein, Alex and Dreslinski, Ronald and Mudge, Trevor and Talati, Nishil},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {3},
        pages = {427--440},
        doi = {10.14778/3632093.3632106},
        url = {https://doi.org/10.14778/3632093.3632106},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
5,960 On Graph Representation for Attributed Hypergraph Clustering 2025 SIGMOD 6.0274692e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
1,163 Local Graph Sparsification for Scalable Clustering 2011 SIGMOD 0.00011865557
Previous Page 1 / 1 Next

Semantically Similar Papers