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Performance and Scalability of Indexed Subgraph Query Processing Methods

Summary: Systematic empirical study of six indexed subgraph query methods (Grapes, CT-Index, GraphGrepSX, gIndex, Tree+Delta, gCode) over real (AIDS, PDBS, PCM, PPI) and synthetic graphs. Analyzes sensitivity to graph size, density, label diversity, dataset size, and query size to reveal index construction costs, query time, and false-positive behavior, with scalability insights. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11034
Venue
VLDB
Year
2015
Pagerank
6.4727847e-05
Overall Rank
4,072 | 71.68%
DOI
-

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