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Graph Learning Package 0.1
by hiroto - May 4, 2009, 17:07:15 CET [
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- Description:
This software is aimed at performing supervised/unsupervised learning on graph data, where each graph is represented as binary indicators of subgraph features. Basic graph mining algorithm is gSpan, and learning algorithms include Boosting, PLS, PCA. Please refer to the corresponding papers. The graph data are available from http://www.mpi-inf.mpg.de/~hiroto/ChemGraphData-1.0.tar.gz
- Changes to previous version:
Initial Announcement on mloss.org.
- BibTeX Entry: Download
- Corresponding Paper BibTeX Entry: Download
- Supported Operating Systems: Linux
- Data Formats: Ascii
- Tags: Graph, Classification, Regression, Boosting, Pca, Gspan, Pls
- Archive: download here
Comments
-
- Hiroto Saigo (on May 1, 2009, 18:11:38)
- Feedbacks, suggestions and bug reports are welcome.
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Project details for Graph Learning Package
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- Version:
- 0.1
- Submitter:
- hiroto
- Author(s):
- Hiroto Saigo , Taku Kudo , Koji Tsuda
- Posted:
- 4 May 2009
- Last Updated:
- 4 May 2009
- Open Source License:
- lgpl
- Programming Language(s):
- c++