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GConnect: A Connectivity Index for Massive Disk-Resident Graphs

Summary: GConnect indexes massive disk-resident graphs using edge-sampled, compressed representations that fit in memory while organizing them in a disk-resident structure. It approximates pairwise minimum cuts 100–1000× faster than direct disk processing, with modest accuracy loss. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h986148ae63586307
Venue
VLDB
Year
2009
Pagerank
7.5723309e-05
Overall Rank
3,168 | 78.71%
DOI
10.14778/1687627.1687725

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{aggarwal_vldb09,
        title = {{GConnect: A Connectivity Index for Massive Disk-Resident Graphs}},
        author = {Aggarwal, Charu and Xie, Yan and Yu, Philip S.},
        journal = {PVLDB},
        series = {{VLDB} '09},
        doi = {10.14778/1687627.1687725},
        url = {https://doi.org/10.14778/1687627.1687725},
        year = {2009}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

Rank Cited Paper Year Venue Pagerank
131 Discovering Large Dense Subgraphs in Massive Graphs 2005 VLDB 0.00030242586
563 Graph Summarization with Bounded Error 2008 SIGMOD 0.00016327158
601 Substructure Similarity Search in Graph Databases 2005 SIGMOD 0.00015732701
2,010 Mining Significant Graph Patterns by Leap Search 2008 SIGMOD 9.1914756e-05
4,053 The Web as a graph 2000 PODS 6.8278797e-05
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