1. 19 Nov, 2017 1 commit
  2. 26 Sep, 2017 1 commit
  3. 09 Feb, 2017 1 commit
  4. 05 Feb, 2017 1 commit
    • Tiago Peixoto's avatar
      Improve underlying adjacency list implementation · 80692ffd
      Tiago Peixoto authored
      This changes the underlying adjacency matrix implementation to a single
      mixed in + out edge list for each node, instead of separate ones. This
      simplifies the undirected_adaptor<> so that its out-edge iterators
      become trivial, and also faster.
      80692ffd
  5. 01 Jan, 2017 1 commit
  6. 01 Nov, 2016 1 commit
  7. 22 Apr, 2016 1 commit
  8. 31 Mar, 2016 1 commit
  9. 19 Jan, 2016 1 commit
  10. 18 Jan, 2016 1 commit
  11. 01 Jan, 2016 1 commit
  12. 20 Nov, 2015 1 commit
  13. 17 Sep, 2015 1 commit
  14. 15 Jul, 2015 1 commit
  15. 08 Jan, 2015 1 commit
  16. 09 Jun, 2014 1 commit
  17. 02 Jan, 2014 1 commit
  18. 10 Nov, 2013 1 commit
  19. 22 Jul, 2013 1 commit
  20. 15 Jul, 2013 1 commit
  21. 12 Jun, 2013 1 commit
  22. 11 Feb, 2013 1 commit
  23. 10 Jan, 2013 1 commit
  24. 06 Jan, 2013 1 commit
  25. 04 Jan, 2013 1 commit
  26. 26 Dec, 2012 1 commit
  27. 27 Oct, 2012 1 commit
  28. 03 Jun, 2012 1 commit
  29. 02 May, 2012 1 commit
  30. 06 Apr, 2012 1 commit
  31. 10 Feb, 2011 1 commit
  32. 15 Dec, 2010 1 commit
  33. 13 Nov, 2010 1 commit
  34. 25 Jul, 2010 1 commit
  35. 13 Jul, 2010 1 commit
    • Tiago Peixoto's avatar
      Fix segfault bug in motifs() · e75cf856
      Tiago Peixoto authored
      This fixes a bug in the motifs() code which generates a segfault for
      certain subgraph signatures. This also fixes a potential problem for
      multithreaded execution.
      e75cf856
  36. 07 Mar, 2010 1 commit
  37. 12 Sep, 2009 1 commit
    • Tiago Peixoto's avatar
      Speed up motifs() and motif_significance() · 06b2914a
      Tiago Peixoto authored
      In both functions we can save some time by hashing the subgraphs found,
      according to their degree distribution signature (instead of number of
      edges). This avoids a large number of useless exactness or isomorphism
      comparisons.
      
      This also removes the "seed" parameter, which is redundant to
      the numpy.random.seed() function.
      06b2914a
  38. 04 Aug, 2009 1 commit
  39. 23 May, 2009 1 commit
  40. 24 Apr, 2009 1 commit