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GExp: Cost-aware Graph Exploration with Keywords

Summary: GExp enables graph exploration via interleaved keyword queries and bounded-cost evaluation. Cost-aware incremental evaluation via substructure expansions enables tunable quality-cost tradeoffs with provable bounds across three keyword-query classes. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5511
Venue
SIGMOD
Year
2018
Pagerank
4.1945683e-05
Overall Rank
11,713 | 18.52%
DOI
10.1145/3183713.3193550

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
11,659 Answering Why-questions by Exemplars in Attributed Graphs 2019 SIGMOD 4.1945683e-05
11,670 NAVIGATE: Explainable Visual Graph Exploration by Examples 2019 SIGMOD 4.1945683e-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.

Rank Cited Paper Year Venue Pagerank
336 Bidirectional Expansion For Keyword Search on Graph Databases 2005 VLDB 0.00027020919
1,720 Incremental Graph Pattern Matching 2011 SIGMOD 0.00010779343
2,770 Keyword Search in Graphs: Finding r-cliques 2011 VLDB 8.1437191e-05
4,331 Exploratory Keyword Search with Interactive Input 2015 SIGMOD 6.2836568e-05
4,474 Measure-driven Keyword-Query Expansion 2009 VLDB 6.1528736e-05
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6,011 X2Q: Your Personal Example-based Graph Explorer 2018 VLDB 5.2415551e-05
9,887 Graph Exploration: From Users to Large Graphs 2017 SIGMOD 4.2621158e-05
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