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Effective and Efficient PageRank-based Positioning for Graph Visualization

Summary: PDist, a PageRank-based node distance for graph visualization. Tau-Push estimates PDist with theoretical guarantees for single-/multi-level layouts and delivers sub-second interactive visualizations on billion-edge graphs, beating 13 baselines on 12 real graphs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6641
Venue
SIGMOD
Year
2023
Pagerank
5.093636e-05
Overall Rank
11,390 | 21.86%
DOI
10.1145/3588930

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Authors

BibTeX Citation

@inproceedings{zhang_sigmod23,
        title = {{Effective and Efficient PageRank-based Positioning for Graph Visualization}},
        author = {Zhang, Shiqi and Yang, Renchi and Xiao, Xiaokui and Yan, Xiao and Tang, Bo},
        series = {{SIGMOD} '23},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3588930},
        url = {https://dl.acm.org/doi/10.1145/3588930},
        year = {2023}
}

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