How to use the karateclub.graph_embedding.GL2Vec function in karateclub

x = np.random.uniform(0,1,(10000,200))

model = TADW()

model.fit(g, x)

quit()

#-----------------------------------
# GL2Vec example
#-----------------------------------

graphs = [nx.newman_watts_strogatz_graph(50, 5, 0.3) for _ in range(100)]

model = GL2Vec()

model.fit(graphs)
model.get_embedding()

#-----------------------------------
# FGSD example
#-----------------------------------

graphs = [nx.newman_watts_strogatz_graph(50, 5, 0.3) for _ in range(100)]

model = FGSD()

model.fit(graphs)
model.get_embedding()

#-----------------------------------

g = nx.newman_watts_strogatz_graph(200, 20, 0.05)

x = np.random.uniform(0, 1, (200, 200))

model = TADW()

model.fit(g, x)

#-----------------
# GL2Vec example
#-----------------

graphs = [nx.newman_watts_strogatz_graph(50, 5, 0.3) for _ in range(100)]

model = GL2Vec()

model.fit(graphs)
model.get_embedding()

#--------------
# FGSD example
#--------------

graphs = [nx.newman_watts_strogatz_graph(50, 5, 0.3) for _ in range(100)]

model = FGSD()

model.fit(graphs)
model.get_embedding()

#---------------