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Querying Big Graphs within Bounded Resources

Summary: Proposes resource-bounded query answering by shrinking G to a bound-preserving subgraph G_Q with |G_Q| ≤ α|G|. NP-hard for exact pattern queries and no exact reachability for α<1; yet, scalable resource-bounded algorithms yield accurate approximations. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4884
Venue
SIGMOD
Year
2014
Pagerank
6.3563454e-05
Overall Rank
4,211 | 70.71%
DOI
10.1145/2588555.2610513

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