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Auto-Approximation of Graph Computing

Summary: Automatic, systematic synthesis of approximation programs for graph computing, enabling quick, meaningful results without crafting new approximations. Extensive experiments on large real graphs demonstrate feasibility and broad applicability across standard graph algorithms. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10881
Venue
VLDB
Year
2014
Pagerank
4.3177432e-05
Overall Rank
9,614 | 33.12%
DOI
-

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Rank Citing Paper Year Venue Pagerank
11,647 Ariadne: Online Provenance for Big Graph Analytics 2019 SIGMOD 4.1945683e-05
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