Esempi in Python per FSCNMF.fit

Esempio n. 1

File: attributed_node_embedding_test.py Progetto: uZeroJ/karateclub

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

Esempio n. 2

"""FCNMF example."""

import numpy as np
import networkx as nx
from karateclub.node_embedding.attributed import FSCNMF

g = nx.newman_watts_strogatz_graph(200, 20, 0.05)

x = np.random.uniform(0, 1, (200, 200))

model = FSCNMF()

model.fit(g, x)

Esempio n. 3

File: examples.py Progetto: phymucs/karateclub

from karateclub.graph_embedding import Graph2Vec, FGSD, GL2Vec
from karateclub.node_embedding.attributed import BANE, TENE, TADW, FSCNMF
from karateclub.node_embedding.structural import GraphWave
from karateclub.dataset import GraphReader, GraphSetReader

#-----------------------------------
# FSCNMF example
#-----------------------------------

g = nx.newman_watts_strogatz_graph(200, 20, 0.05)

x = np.random.uniform(0, 1, (200, 200))

model = FSCNMF()

model.fit(g, x)

quit()

#-----------------------------------
# TADW example
#-----------------------------------

g = nx.newman_watts_strogatz_graph(200, 20, 0.05)

x = np.random.uniform(0, 1, (200, 200))

model = TADW()

model.fit(g, x)