def __init__(self, graph, n_eigs, alpha, weight=None):
SGFT.__init__(self, graph, n_eigs)
self.graph = graph
self.factory = ppr.PersonalizedPageRank(graph, n_eigs, weight=weight)
self.alpha = alpha + self.factory.eig_val[0]
self.basis = self.factory.basis
vol = utils.graph_volume(graph, weight)
self.normalization_constant = np.power(vol, 0.5)
def __init__(self, graph, k, weight=None):
if k >= graph.num_vertices():
raise ValueError('k must be in the range ' +
'[0, graph.num_vertices()). ' +
'This is due to scipy.sparse.linalg restrictions')
self.lap = gt_spectral.laplacian(graph, normalized=True, weight=weight)
self.adj = gt_spectral.adjacency(graph, weight=weight)
self._deg_vec = np.asarray(self.adj.sum(axis=1))
self._weight = weight
self._vol_graph = utils.graph_volume(graph, self._weight)
self._n = graph.num_vertices()
self._vertex_index = graph.vertex_index
self.eig_val, self.eig_vec = eigsh(self.lap, k, which='SM')
self._deg_vec = np.asarray(self.adj.sum(axis=1))
self.basis = np.multiply(np.power(self._deg_vec, -0.5), self.eig_vec)
self._deg_vec = np.squeeze(self._deg_vec)