def test_fscnmf():
    """
    Testing the FSCNMF node embedding.
    """
    graph = nx.newman_watts_strogatz_graph(250, 10, 0.2)

    features = np.random.uniform(0, 1, (250, 128))
    model = FSCNMF()
    model.fit(graph, features)
    embedding = model.get_embedding()

    assert embedding.shape[0] == graph.number_of_nodes()
    assert embedding.shape[1] == 2 * model.dimensions
Example #2
0
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()

#-----------------------------------
# NetMF example
#-----------------------------------