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I/O Efficient ECC Graph Decomposition via Graph Reduction

Summary: I/O efficient ECC decomposition for all k values achieved via two graph-reduction operators that shrink the in-memory graph while preserving k-edge connectivity. Bottom-Up, Top-Down, and Hybrid algorithms explore k-values in different orders to minimize redundant work, with experiments on graphs up to 1.95B edges demonstrating scalability. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11530
Venue
VLDB
Year
2016
Pagerank
5.8486743e-05
Overall Rank
6,535 | 55.17%
DOI
10.14778/2904483.2904484

Incoming Non-self Citations Over Time

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BibTeX Citation

@article{yuan_vldb16,
        title = {{I/O Efficient ECC Graph Decomposition via Graph Reduction}},
        author = {Yuan, Long and Qin, Lu and Lin, Xuemin and Chang, Lijun and Zhang, Wenjie},
        journal = {PVLDB},
        series = {{VLDB} '16},
        volume = {9},
        number = {7},
        doi = {10.14778/2904483.2904484},
        url = {https://doi.org/10.14778/2904483.2904484},
        year = {2016}
}

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