本文整理汇总了Python中apgl.graph.SparseGraph.SparseGraph.normalisedLaplacianRw方法的典型用法代码示例。如果您正苦于以下问题：Python SparseGraph.normalisedLaplacianRw方法的具体用法？Python SparseGraph.normalisedLaplacianRw怎么用？Python SparseGraph.normalisedLaplacianRw使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类apgl.graph.SparseGraph.SparseGraph的用法示例。
在下文中一共展示了SparseGraph.normalisedLaplacianRw方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: testNormalisedLaplacianRw
# 需要导入模块: from apgl.graph.SparseGraph import SparseGraph [as 别名]
# 或者: from apgl.graph.SparseGraph.SparseGraph import normalisedLaplacianRw [as 别名]
def testNormalisedLaplacianRw(self):
numVertices = 10
numFeatures = 0
vList = VertexList(numVertices, numFeatures)
graph = SparseGraph(vList)
ell = 2
m = 2
generator = BarabasiAlbertGenerator(ell, m)
graph = generator.generate(graph)
k = 10
W = graph.getSparseWeightMatrix()
L = GraphUtils.normalisedLaplacianRw(W)
L2 = graph.normalisedLaplacianRw()
tol = 10**-6
self.assertTrue(numpy.linalg.norm(L - L2) < tol)
#Test zero rows/cols
W = scipy.sparse.csr_matrix((5, 5))
W[1, 0] = 1
W[0, 1] = 1
L = GraphUtils.normalisedLaplacianRw(W)
for i in range(2, 5):
self.assertEquals(L[i, i], 0)