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The Complexity of Mining Maximal Frequent Subgraphs

Summary: Maps complexity of enumerating maximal frequent subgraphs for connected graph classes and labeled vs unlabeled variants under bounded support or bounded output-size. For labeled instances bounded support yields tractability (bounded output often doesn't, except labeled trees where either bound suffices); unlabeled instances are harder—NP-complete even for two unlabeled trees with support=output=2. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1605
Venue
PODS
Year
2013
Pagerank
5.7411631e-05
Overall Rank
5,043 | 64.92%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
6,347 A Relational Framework for Classifier Engineering 2017 PODS 5.1019568e-05
10,361 The Complexity of Maximal Common Subsequence Enumeration 2025 PODS 4.1945683e-05
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
1,073 Finding and Approximating Top-k Answers in Keyword Proximity Search 2006 PODS 0.00014264992
3,929 Maximally Joining Probabilistic Data 2007 PODS 6.6248763e-05
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