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Fast Estimation of Pairwise Biharmonic Distance on Graphs

Summary: Introduces pivot-based formulations for pairwise biharmonic distance, enabling BackPush (deterministic), FastWalk (collision-counting truncated absorbing walks), and FastTree (spanning-tree connection). On graphs with hundreds of millions of edges, these methods are >100× faster and more accurate than SOTA. (summarized by gpt-5.6-luna on Jul 26 2026)

Paper ID
7431
Venue
SIGMOD
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,240 | 29.75%
DOI
10.1145/3802058

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BibTeX Citation

@inproceedings{liu_sigmod26,
        title = {{Fast Estimation of Pairwise Biharmonic Distance on Graphs}},
        author = {Liu, Changan and Zhou, Xinna and Zhang, Bo and Zehmakan, Ahad N. and Zhang, Zhongzhi},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3802058},
        url = {https://dl.acm.org/doi/10.1145/3802058},
        year = {2026}
}

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