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Relational Approach for Shortest Path Discovery over Large Graphs

Summary: Recasts disk-based graph search as relational FEM—frontier selection, expansion, and merge—using SQL window functions and MERGE. Bidirectional set-Dijkstra plus SegTable indexing accelerates shortest-path discovery with scalable RDB execution. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
10672
Venue
VLDB
Year
2012
Pagerank
6.4166233e-05
Overall Rank
4,977 | 65.86%
DOI
10.14778/2095686.2095694

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{gao_vldb12,
        title = {{Relational Approach for Shortest Path Discovery over Large Graphs}},
        author = {Gao, Jun and Jin, Ruoming and Zhou, Jiashuai and Yu, Jeffrey Xu and Jiang, Xiao and Wang, Tengjiao},
        journal = {PVLDB},
        series = {{VLDB} '12},
        volume = {5},
        number = {4},
        pages = {358--369},
        doi = {10.14778/2095686.2095694},
        url = {https://doi.org/10.14778/2095686.2095694},
        year = {2012}
}

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