https://github.com/kit-parco/networkit

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Revision Author Date Message Commit Date
188552e added missing init.py for the profiling module 12 November 2015, 16:07:54 UTC
34a93a3 Removed tag 4.0.1 12 November 2015, 16:05:49 UTC
1e08085 Added tag 4.0.1 for changeset b0c6d2a675cd 10 November 2015, 20:37:21 UTC
9beee8a merge for release 10 November 2015, 20:34:02 UTC
6c98c59 fixed packaging 10 November 2015, 20:33:47 UTC
687fd5f merge 10 November 2015, 19:40:53 UTC
342aca6 Added tag 4.0 for changeset b95163c14d85 10 November 2015, 19:34:22 UTC
66548e5 version bump for automated generation of documentation 10 November 2015, 19:30:55 UTC
d87cd09 Removed tag 4.0 10 November 2015, 19:30:06 UTC
d4facfb Added tag 4.0 for changeset 1aaae38b5b1d 10 November 2015, 19:14:14 UTC
125a47e merged Dev into default for release 10 November 2015, 19:13:59 UTC
ba0cd1f updated version number 10 November 2015, 19:09:45 UTC
5dc7c3f next try at a clean version of the profiling notebook 10 November 2015, 18:59:01 UTC
99c156d rerun profiling notebook 10 November 2015, 18:44:16 UTC
05c0300 updated profiling notebook 10 November 2015, 18:30:09 UTC
d894a37 updated profiling notebook 10 November 2015, 18:28:22 UTC
b8dd6cc integrated profiling.walk into Profiling notebook 10 November 2015, 18:09:50 UTC
1a8aa06 removed MultiscaleGenerator import 10 November 2015, 17:54:49 UTC
54583db updated credits 10 November 2015, 17:54:38 UTC
d4eff67 fix python unittests 10 November 2015, 17:46:38 UTC
ac681c7 removed accidentally committed MultiscaleGenerator 10 November 2015, 17:43:35 UTC
0846813 profiling: updated descriptions 10 November 2015, 17:24:40 UTC
8b5345a removed deprecation attributes from Graph.h 10 November 2015, 17:11:57 UTC
cf20b0d read kernel descriptions from one single file instead of one file per kernel 10 November 2015, 17:07:37 UTC
b43cef7 move profiling.multiprocessing -> profiling.multiprocessing_helper 10 November 2015, 16:58:57 UTC
c23a7b0 profiling: default color theme green 10 November 2015, 16:52:30 UTC
62d0d75 merge 10 November 2015, 16:12:30 UTC
6241785 further relaxed test cases 10 November 2015, 16:11:23 UTC
ecc4452 removed duplicate Link Prediction notebook 10 November 2015, 16:08:34 UTC
6fceedd fix bug in determineCompiler 10 November 2015, 16:00:00 UTC
aeb13c6 minor fix in SConstruct; setup.py now respects ; setup.py sets -std=c++14 if possible 10 November 2015, 15:34:03 UTC
ffda970 profiling.walk accepts preset argument 10 November 2015, 15:39:19 UTC
ef073c2 merge 10 November 2015, 15:37:13 UTC
b0832ce merge 10 November 2015, 15:34:57 UTC
8f2200e profiling.walk: no longer a classmethod of profiling.Profile 10 November 2015, 15:30:36 UTC
9ba2638 fix syntax error 10 November 2015, 15:10:26 UTC
d58cdba increased tolerance for randomized test case of dynamic hyperbolic generator 10 November 2015, 15:04:49 UTC
fac8923 profiling: 10 searches for Betweenness and Closeness heuristics 10 November 2015, 14:57:23 UTC
09860eb profiling.walk: removed pseudo-default arguments 10 November 2015, 14:44:15 UTC
f8e75a3 SConstruct now checks for C++14 support 10 November 2015, 13:46:00 UTC
7768990 profiling: do not overwrite builtin name 'type' 09 November 2015, 22:39:42 UTC
a8915a2 named presets for profiling.Profile.create 09 November 2015, 22:12:28 UTC
59cdb52 reset to c++11 as requirement, TODO: optional c++14 support 09 November 2015, 21:50:15 UTC
7d9f805 fixed all plot functions except plot.degreeDistribution and plot.coreDecompositionSequence 09 November 2015, 14:43:02 UTC
7691d23 work on some notebooks 09 November 2015, 14:09:26 UTC
73b3497 use relative path in Profiling notebook 09 November 2015, 10:18:15 UTC
d18f237 fix profiling module after properties module has been removed 09 November 2015, 10:17:09 UTC
d3ad826 default parameters for distance/AlgebraicDistance 07 November 2015, 19:58:19 UTC
69e24db AlgebraicDistance: Fix MAX-norm 06 November 2015, 15:34:27 UTC
41e1954 Added normalization to AlgebraicDistance 06 November 2015, 14:56:53 UTC
200a328 LocalFilterScore: add documentation to Python wrapper 06 November 2015, 09:07:52 UTC
c02daa6 Add sparsification.LocalSparsifier 06 November 2015, 09:04:19 UTC
4f4cd6f Add sparsification.AlgebraicDistanceSparsifier 06 November 2015, 08:51:57 UTC
6a2b16f Adapt LocalFilterScore to convention high score = important edge 06 November 2015, 08:51:04 UTC
9be2e09 LocalFilterScore: Fix Python wrapper to not to use unitialized input 06 November 2015, 08:50:23 UTC
d7d1b51 updated user guide 05 November 2015, 23:26:13 UTC
3538aff removed properties.py 05 November 2015, 23:25:53 UTC
6562652 Parallelized and optimized AlgebraicDistance 05 November 2015, 13:28:18 UTC
9f46018 distance.AlgebraicDistance.getEdgeAttribute 04 November 2015, 17:32:23 UTC
6c352af distance.AlgebraicDistance documentation 04 November 2015, 01:32:37 UTC
6a3e3dd created distance.AlgebraicDistance 03 November 2015, 21:56:31 UTC
9b30ef2 Another minor optimization in TriangleEdgeScore This improves cache usage and should reduce cache conflicts between threads. This does not change the running time in theory. 05 November 2015, 09:56:45 UTC
6b7bb9f more deprecation warnings in Graph 04 November 2015, 22:19:09 UTC
7d5a999 more deprecation warnings in Graph 04 November 2015, 22:18:11 UTC
d403510 testing upgrade to C++14 with the deprecated attribute 04 November 2015, 21:33:23 UTC
1220b08 ApproxBetweenness2: remove some code duplication using openmp conditions 04 November 2015, 14:50:56 UTC
e84452e Parallelized ForestFireScore 04 November 2015, 14:07:40 UTC
e225c81 Added Aux::Parallel::max_element 04 November 2015, 14:07:02 UTC
b798521 IsolatedInterpartitionConductance: fix individual values 04 November 2015, 09:07:52 UTC
95326e7 wrap Aux::Parallel::sort in _NetworKit.pyx and use it in sort2 03 November 2015, 17:18:16 UTC
302e514 refactor usages of std::sort to Aux::Parallel::sort 03 November 2015, 16:57:23 UTC
67c8766 merge Dev -> multiscale 03 November 2015, 16:37:07 UTC
5107701 multiscale generator: test -> try 03 November 2015, 16:36:52 UTC
5aab76e EdgeScoreLinearizer: Use GNU parallel sort if possible 03 November 2015, 10:48:09 UTC
fa7a586 PrefixJaccardScore: massive performance improvement In first experiments this seems to be at least 10 times faster. The code now uses much less malloc calls by not using an edge vector for each node (but one for all edges) and by not using std::set for calculating neighborhood intersections. The set is replaced by a boolean vector for each thread. 03 November 2015, 10:45:10 UTC
48d8a30 removed error message when using networkit without IPython 03 November 2015, 11:23:05 UTC
4dff62a merge 03 November 2015, 07:10:12 UTC
e21f555 profiling - fixes (e.g. output - LaTeX support) 03 November 2015, 07:09:17 UTC
eb52a48 multiscale generator: GraphCoarsening.getCoarseToFineNodeMapping 02 November 2015, 20:02:09 UTC
f5d41e4 NMIDistance: Add warning when comparing 1-partition Mutual information does not really make sense when you compare partitions where at least one of them consists of just one subset. This adds a warning to notify the user about the possible problem. 02 November 2015, 18:17:50 UTC
582a00f experimental: set number of iterations in community.PLP 02 November 2015, 17:18:05 UTC
d9f38b7 multiscalge generator: coarse levels 02 November 2015, 16:55:45 UTC
0ee24fe merge Dev -> multiscale 02 November 2015, 16:43:48 UTC
72cbe24 refactored unit tests 02 November 2015, 16:41:50 UTC
7ec971a Fix wrong result in edge case of AdjustedRandMeasure 02 November 2015, 16:33:53 UTC
adf888e merge Dev -> multiscale 02 November 2015, 16:11:39 UTC
be6c76f trying to refactor and fix Matching mess 02 November 2015, 16:10:24 UTC
0e4ea4e merge Dev -> multiscale 02 November 2015, 15:26:46 UTC
dbd5554 merge 02 November 2015, 15:24:05 UTC
5ba6d7a work in progress: refactoring Matching algorithms and class 01 November 2015, 19:25:03 UTC
d9dd7fc working on multiscale generator 01 November 2015, 19:18:13 UTC
c23afc7 working on multiscale generator 01 November 2015, 19:18:10 UTC
eaeaaa5 test for MultiscaleGenerator 01 November 2015, 19:17:22 UTC
2985120 better fit for HyperbolicGenerator 01 November 2015, 19:14:48 UTC
cc7eb4a CoreDecomposition: faster sequential mode by not using linked lists This implements the bucket queue using three vectors using bucket sort. While this is faster it is not significantly faster, in practice the factor seems to be less than two. 29 October 2015, 13:47:32 UTC
06d8505 Added turbo mode for LocalClusteringCoefficient The turbo mode uses O(m) additional memory but is much faster on some graphs (>5 minutes vs. 16 seconds on uk-2002 on my laptop) and is still parallel apart from a fast sequential pre-processing step. 29 October 2015, 13:45:41 UTC
00619f5 made graph writers const 29 October 2015, 09:54:11 UTC
f9d82c9 more test cases for matchings with self loops 29 October 2015, 09:50:44 UTC
17313e6 merge Dev -> multiscale 28 October 2015, 20:45:18 UTC
803d870 renamed MatchingContracter -> MatchingCoarsening 28 October 2015, 20:45:08 UTC
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