junliangma / Graph_Learning

Graph Learning from Data under Laplacian and Structural Constraints

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Graph Laplacian Learning (GLL) Package v.1.0.

This MATLAB package includes implementations of graph learning algorithms presented in [1].

[1] H. E. Egilmez, E. Pavez, and A. Ortega, "Graph learning from data under structural and Laplacian constraints," CoRR, vol. abs/1611.05181v2,2016. 
   [Online]. Available: https://arxiv.org/abs/1611.05181

To install the package:
(1) Download the source files.
(2) Run script 'start_graph_learning.m'

The demo script 'demo_animals.m' shows the usage of functions used to estimate three different types of graph Laplacian matrices discussed in [1].

Additional scripts and a more detailed description will be available soon.

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Graph Learning from Data under Laplacian and Structural Constraints


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