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Releases: TheoryInPractice/CONCUSS

Version 2.0

15 Jun 19:44
@bdsullivan bdsullivan
v2.0
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Version 2.0 Latest
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CONCUSS v2.0 supports the following additional features:

  • Basic patterns
    • User can specify common patterns by name instead of needing a pattern file.
    • Supports cliques, wheels, cycles, paths, stars, and bicliques of any size.
  • Multiple patterns
    • Can return counts for a set of patterns in a single run of CONCUSS.
    • Compatible with basic patterns and custom pattern files
  • BEAVr integration
    • Compatible with visualization software BEAVr
    • Supports exporting archive of a single run to file for import by BEAVr
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Version 1.0

02 Sep 20:24
@bdsullivan bdsullivan
v1.0
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Version 1.0

Initial release of CONCUSS: Combatting Network Complexity Using Structural Sparsity. CONCUSS is a Python software tool for large scale graph analytics whose efficiency and scalability come from exploiting the underlying "structural sparsity" of the data. Current modules use low-treedepth colorings (guaranteed in graph classes of bounded expansion) and allow users to count the number of occurences of a specific pattern within a graph (i.e. subgraph isomorphism counting).

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