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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
5245
Venue
SIGMOD
Year
2016
Pagerank
5.3672389e-05
Overall Rank
5,697 | 60.41%
DOI
10.1145/2882903.2915217

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
8,746 Full-Power Graph Querying: State of the Art and Challenges 2023 VLDB 4.4520434e-05
10,079 Fast Optimal Group Steiner Tree Search using GPUs 2026 SIGMOD 4.1905499e-05
11,266 Approximating Probabilistic Group Steiner Trees in Graphs 2023 VLDB 4.1905499e-05
11,497 Finding Group Steiner Trees in Graphs with both Vertex and Edge Weights 2021 VLDB 4.1905499e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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