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Planting Trees for scalable and efficient Canonical Hub Labeling

Summary: PLaNT constructs minimal canonical hub labels via embarrassingly parallel, dependency-free labeling, avoiding PLL’s sequential root order. Collaborative partitioning enables in-memory distributed labeling/querying on massive weighted graphs, with substantially smaller labels and up to 9.5× cluster speedup. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12439
Venue
VLDB
Year
2020
Pagerank
5.3345443e-05
Overall Rank
9,003 | 38.24%
DOI
10.14778/3372716.3372722

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{lakhotia_vldb20,
        title = {{Planting Trees for scalable and efficient Canonical Hub Labeling}},
        author = {Lakhotia, Kartik and Kannan, Rajgopal and Dong, Qing and Prasanna, Viktor},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {4},
        pages = {492--505},
        doi = {10.14778/3372716.3372722},
        url = {https://doi.org/10.14778/3372716.3372722},
        year = {2020}
}

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