GRAIL: Scalable reachability index for large graphs

Hilmi Yildirim, Vineet Chaoji, Mohammed J. Zaki

Research output: Contribution to journalArticle

87 Citations (Scopus)

Abstract

Given a large directed graph, rapidly answering reachability queries between source and target nodes is an important problem. Existing methods for reachability trade-off indexing time and space versus query time performance. However, the biggest limitation of existing methods is that they simply do not scale to very large real-world graphs. We present a very simple, but scalable reachability index, called GRAIL, that is based on the idea of randomized interval labeling, and that can effectively handle very large graphs. Based on an extensive set of experiments, we show that while more sophisticated methods work better on small graphs, GRAIL is the only index that can scale to millions of nodes and edges. GRAIL has linear indexing time and space, and the query time ranges from constant time to being linear in the graph order and size.

Original languageEnglish
Pages (from-to)276-284
Number of pages9
JournalProceedings of the VLDB Endowment
Volume3
Issue number1
DOIs
Publication statusPublished - Sep 2010

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Computer Science(all)

Fingerprint Dive into the research topics of 'GRAIL: Scalable reachability index for large graphs'. Together they form a unique fingerprint.

  • Cite this