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Efficient and Progressive Group Steiner Tree Search

Summary: Proposes PrunedDP for GST using optimal-tree decomposition and conditional-tree merging to prune DP search. With progressive A*-search and tight bounds, it yields refinements, huge speedups and lower memory, often locating optimal GST solutions. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hb3ab1cbd7adcc366
Venue
SIGMOD
Year
2016
Pagerank
6.0935114e-05
Overall Rank
5,531 | 62.82%
DOI
10.1145/2882903.2915217

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{li_sigmod16,
        title = {{Efficient and Progressive Group Steiner Tree Search}},
        author = {Li, Rong-Hua and Qin, Lu and Yu, Jeffrey Xu and Mao, Rui},
        series = {{SIGMOD} '16},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2882903.2915217},
        url = {https://dl.acm.org/doi/10.1145/2882903.2915217},
        year = {2016}
}

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