gaimc : Graph Algorithms In Matlab Code

Efficient pure-Matlab implementations of graph algorithms to complement MatlabBGL's mex functions.

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While MatlabBGL uses the Boost Graph Library for efficient graph routines,
gaimc implements everything in pure Matlab code. While the routines are
slower, they aren't as slow as I initially thought. Since people often
have problems getting MatlabBGL to compile on new versions of Matlab
or on new architectures, this library is then a complement to MatlabBGL.

See the published M-files for a few examples of the capabilities.

Functions
depth first search (dfs)
breadth first search (bfs)
connected components (scomponents)
maximum weight bipartite matching (bipartite_matching)
Dijkstra's shortest paths (dijkstra)
Prim's minimum spanning tree (mst_prim)
clustering coefficients (clustercoeffs)
directed clustering coefficients (dirclustercoeffs)
core numbers (corenums)

The project is maintained at github : http://github.com/dgleich/gaimc/tree/master

引用格式

David Gleich (2026). gaimc : Graph Algorithms In Matlab Code (https://ww2.mathworks.cn/matlabcentral/fileexchange/24134-gaimc-graph-algorithms-in-matlab-code), MATLAB Central File Exchange. 检索时间: .

致谢

参考作品: MatlabBGL

启发作品: Jorsorokin/HDBSCAN, FGT - Fold Geometry Toolbox

一般信息

MATLAB 版本兼容性

  • 兼容任何版本

平台兼容性

  • Windows
  • macOS
  • Linux
版本 已发布 发行说明 Action
1.0.0.0