def walklets(population, neighbors, probability):
g = nx.newman_watts_strogatz_graph(population, neighbors, probability)
model = Walklets()
model.fit(g)
emb = model.get_embedding()
#print(emb.shape)
return [emb.shape]
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() #------------------- # DeepWalk example #------------------- g = nx.newman_watts_strogatz_graph(100, 20, 0.05) model = DeepWalk() model.fit(g)
"""Walklets illustrative example.""" import networkx as nx from karateclub.node_embedding.neighbourhood import Walklets g = nx.newman_watts_strogatz_graph(100, 20, 0.05) model = Walklets() model.fit(g)