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://bioinf.mpi-inf.mpg.de/homepage/ChemGraphData-1.0.tar.gz
- Changes to previous version:
Initial Announcement on mloss.org.
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