def test_netlsd():
"""
Test the NetLSD embedding.
"""
graphs = [nx.newman_watts_strogatz_graph(50, 5, 0.3) for _ in range(100)]
model = NetLSD()
model.fit(graphs)
embedding = model.get_embedding()
assert embedding.shape[0] == len(graphs)
assert embedding.shape[1] == model.scale_steps
assert type(embedding) == np.ndarray
graphs = [nx.newman_watts_strogatz_graph(500, 5, 0.3) for _ in range(100)]
model = NetLSD()
model.fit(graphs)
embedding = model.get_embedding()
assert embedding.shape[0] == len(graphs)
assert embedding.shape[1] == model.scale_steps
assert type(embedding) == np.ndarray
"""NetLSD illustrative example.""" import networkx as nx from karateclub.graph_embedding import NetLSD graphs = [nx.newman_watts_strogatz_graph(50, 5, 0.3) for _ in range(100)] model = NetLSD() model.fit(graphs) model.get_embedding()