How to use the karateclub.community_detection.overlapping.BigClam function in karateclub

x = np.random.uniform(0,1,(100,2000))

p = nx.newman_watts_strogatz_graph(100, 20, 0.05)

x = nx.adjacency_matrix(p)
model = BANE()

model.fit(g, x)

#------------------------------------
# BigClam example
#------------------------------------

g = nx.newman_watts_strogatz_graph(100, 20, 0.05)

model = BigClam()

model.fit(g)

membership = model.get_memberships()

#------------------------------------
# Walklets example
#------------------------------------

g = nx.newman_watts_strogatz_graph(100, 20, 0.05)

model = Walklets()

model.fit(g)

emb = model.get_embedding()

x = np.random.uniform(0,1,(100,2000))

p = nx.newman_watts_strogatz_graph(100, 20, 0.05)

x = nx.adjacency_matrix(p)
model = BANE()

model.fit(g, x)

#-----------------
# BigClam example
#-----------------

g = nx.newman_watts_strogatz_graph(100, 20, 0.05)

model = BigClam()

model.fit(g)

membership = model.get_memberships()

#-------------------
# Walklets example
#-------------------

g = nx.newman_watts_strogatz_graph(100, 20, 0.05)

model = Walklets()

model.fit(g)

emb = model.get_embedding()