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Efficient Processing of Distance Queries in Large Graphs: A Vertex Cover Approach

Summary: Disk-based, tree-structured index for single-source distance queries in massive graphs, leveraging vertex-cover partitioning to enable I/O-efficient query processing. I/O-efficient construction algorithm with explicit CPU/I/O bounds; validated on real-world large graphs, showing scalable performance. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4607
Venue
SIGMOD
Year
2012
Pagerank
7.0678455e-05
Overall Rank
3,857 | 73.54%
DOI
10.1145/2213836.2213888

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{cheng_sigmod12,
        title = {{Efficient Processing of Distance Queries in Large Graphs: A Vertex Cover Approach}},
        author = {Cheng, James and Ke, Yiping and Chu, Shumo and Cheng, Carter},
        series = {{SIGMOD} '12},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2213836.2213888},
        url = {https://dl.acm.org/doi/10.1145/2213836.2213888},
        year = {2012}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Rank Cited Paper Year Venue Pagerank
370 TEDI: Efficient Shortest Path Query Answering on Graphs 2010 SIGMOD 0.00019937972
674 Finding Maximal Cliques in Massive Networks by H*-graph 2010 SIGMOD 0.00015081844
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