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+# SGCN-for-epilepsy-detection
+This repository holds the source code of SGCN model.
+The code consists of two parts: Frequency-domain_Complex_network and SGCN.
+
+Dataset
+
+Due to the size limitation of upload file, we provide website of the Bonn dataset：http://epileptologie-bonn.de/cms/front_content.php?idcat=193&lang=3&changelang=3.
+
+Frequency-domain_Complex_network
+
+This part contains three code files, LVG.m, LPHVG.m, and graph_representation.m. In LPVG and LPHVG, we set the variable L of limited number of penetrations. When you set L to 0, you can build VG and HVG. In graph_representation.m, you can generate the complex network training_data, train_label, testing_data, and test_label.
+
+SGCN
+
+This part contains a code file, SGCN.py. The main file is SGCN.py. To use this classifier, please generate the complex networks in advance, and make sure that you have pytorch, Python 3 and all the packages we have used installed.
+
+Next, please take the following two steps.
+
+  Step 1. Change the path in line 81 of SGCN.py to the path of input data.
+  
+  Step 2. Run the command in your command council.