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.idea/encodings.xml

+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="Encoding">
+    <file url="file://$PROJECT_DIR$/node2vec/src/graph/test.npy" charset="windows-1252" />
+    <file url="file://$PROJECT_DIR$/node2vec/src/graph/test_Cliques.npy" charset="UTF-16" />
+  </component>
+</project>
\ No newline at end of file

.idea/vcs.xml

+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="VcsDirectoryMappings">
+    <mapping directory="$PROJECT_DIR$" vcs="Git" />
+  </component>
+</project>
\ No newline at end of file

ANN_CLIQUES.py

@@ -80,14 +80,17 @@ def PatternFinding(dat,lab):
     adj = np.count_nonzero(lab == 1)
     size = len(lab)
     for i in range(1):
-        Ufin = np.random.uniform(-19, -1, size) * 0
+        Ufin = np.random.uniform(-1, 0, size) * 0
+        #print("ufin",Ufin)
+        #print(len(dat) * 2 / ((size-1) * (size - 1)))
         x = 1
-        U = np.random.uniform(-19, -1, size)
+        U = np.random.uniform(-1, 0, size)
         V = np.random.randint(1, size=size)
-        B = (adj / (size * (len(dat) * 2 / (size * (size - 1))))) * 20
+        B = (adj / (size * (len(list(O.edges)) * 2 / (size * (size - 1)))))
+        #print("B",B)
         Arrange(lab,Ufin,B,V)
-        print(np.count_nonzero(V == 1))
-        print(np.count_nonzero(lab == 1))
+        #print(np.count_nonzero(V == 1))
+        #print(np.count_nonzero(lab == 1))
         """
         while len(dat) > 0:
             x = x + 1

Generate.py

@@ -16,7 +16,7 @@ def generate_clique(nb,size,total_size):
     cliques=np.asarray(([y for x in cliques for y in x  if len(x)>=4]))
     nodes_cliques = np.unique(cliques)
     x = len(nodes_cliques)
-    print("nodes_cliques",x)
+    #print("nodes_cliques",x)
     output=np.zeros(total_size)
     output[nodes_cliques]=1
     return G_new,output,x,nodes_cliques,size,nb
@@ -51,7 +51,7 @@ total_size = 100
 max_size_clique = 10
 max_clique_count = 10
 outputs = []
-Gr_size = 1
+Gr_size = 1000
 graph = []
 data = []
 lab = []
@@ -91,24 +91,27 @@ for id in range(Gr_size):
                 for k in range(len(t)):
                     if (t[r, 0] == t[k, 0]) and r != k and w != t[r, 0]:
                         w = t[r, 0]
-                        print(w)
+                        #print(w)
             P = np.delete(T,w,axis=0)
-            print(len(P),E[i])
             T=P
-
+    print("id",id)
     sz.append(T)
 
 
-np.save(os.path.join(PATH, "size.npy"), np.asarray(sz[0])) ###########################
-np.save(os.path.join(PATH, "data.npy"), np.asarray(graph)) ############################
-np.save(os.path.join(PATH, "data2.npy"), np.asarray(data)) ##########################
+np.save(os.path.join(PATH, "size.npy"), np.asarray(sz)) ###########################
+#np.save(os.path.join(PATH, "data.npy"), np.asarray(graph)) ############################
+#np.save(os.path.join(PATH, "data2.npy"), np.asarray(data)) ##########################
+#print("out",sz[0])
+#print("out",graph[0])
+#print("out",data[0])
+
 output = np.asarray(outputs)
-np.save(os.path.join(PATH,"output.npy"),output) #generation des outputs #######################
-print("out",output[0])
+#np.save(os.path.join(PATH,"output.npy"),output) #generation des outputs #######################
+#print("out",output[0])
 labs = np.asarray(lab)
 np.save(os.path.join(PATH,"labels2.npy"),labs) #generation des outputs ##########################
-print("labs",labs[0])
-print(s)
+#print("labs",labs[0])
+#print(s)
 print(len(sz[0]))
 
 #nx.draw(G,with_labels=True)