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()