Update README.md

README.md

@@ -10,10 +10,10 @@ Constraints"** of Sandeep Kumar, Jiaxi Ying, Jose Vinicius de M. Cardoso and Dan
 ![alt text](https://github.com/SamuelDiai/SGL/blob/master/timeseries_graph.gif "Logo Title Text 1")
 
 The repository contains : 
-* The code of the Structured Graph Learning algorithm (SGL)
+* The code of the Structured Graph Learning algorithm (SGL) - SGL.py
 * Some tests made on very simple datasets (two moons, circles and blops) - basic_experiments.py
 * An experiment on an animal dataset - animals.py
 * An experiment on a cancer genome dataset - cancer.py
-* A notebook where we do the above experiments and plot the results.
+* A notebook (SGL_experiments.ipynb) where we do the above experiments and plot the results.
 * A notebook (SGL_timeseries.ipynb) where we apply the SGL algorithm to timeseries data. It is directly adapted from the assignment n°6 of the course "Time Series Learning" by Charles Truong.
 * The final report of our project.