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Local Graph Sparsification for Scalable Clustering

Summary: Local graph sparsification by per-node edge pruning uses a minhash-based similarity to retain the top neighbors per node. The approach delivers 10-50x speedups with negligible quality loss, and even improves clustering accuracy for some algorithms. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4426
Venue
SIGMOD
Year
2011
Pagerank
0.0001679862
Overall Rank
777 | 94.60%
DOI
-

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

Rank Cited Paper Year Venue Pagerank
57 Discovering Large Dense Subgraphs in Massive Graphs 2005 VLDB 0.00065491112
2,183 Keyword Search on External Memory Data Graphs 2008 VLDB 9.3439219e-05
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