DBScholar

Back to papers

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
10070
Venue
VLDB
Year
2009
Pagerank
7.7370163e-05
Overall Rank
3,119 | 78.61%
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)

Showing 6 of 6 citing papers.

Previous Page 1 / 1 Next

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
138 Discovering Large Dense Subgraphs in Massive Graphs 2005 VLDB 0.00029823423
548 Graph Summarization with Bounded Error 2008 SIGMOD 0.00016694936
591 Substructure Similarity Search in Graph Databases 2005 SIGMOD 0.0001603683
1,972 Mining Significant Graph Patterns by Leap Search 2008 SIGMOD 9.3708222e-05
4,015 The Web as a graph 2000 PODS 6.9542071e-05
Previous Page 1 / 1 Next

Semantically Similar Papers