def testConcat(self):
numVertices = 5
graph = SparseGraph(GeneralVertexList(numVertices))
graph.addEdge(1, 1, 0.1)
graph.addEdge(1, 3, 0.5)
graph.addEdge(2, 4, 1)
graph.addEdge(2, 3, 2)
graph.setVertex(0, "abc")
graph2 = SparseGraph(GeneralVertexList(numVertices))
graph2.addEdge(1, 1)
graph2.addEdge(1, 4)
graph2.setVertex(1, "def")
graph3 = graph.concat(graph2)
self.assertTrue(graph3.getNumVertices, 10)
self.assertEquals(graph3.getVertex(0), "abc")
self.assertEquals(graph3.getVertex(6), "def")
self.assertEquals(graph3.getEdge(1, 1), 0.1)
self.assertEquals(graph3.getEdge(1, 3), 0.5)
self.assertEquals(graph3.getEdge(2, 4), 1)
self.assertEquals(graph3.getEdge(2, 3), 2)
self.assertEquals(graph3.getEdge(6, 6), 1)
self.assertEquals(graph3.getEdge(6, 9), 1)
def testConcat(self):
numVertices = 5
graph = SparseGraph(GeneralVertexList(numVertices))
graph.addEdge(1, 1, 0.1)
graph.addEdge(1, 3, 0.5)
graph.addEdge(2, 4, 1)
graph.addEdge(2, 3, 2)
graph.setVertex(0, "abc")
graph2 = SparseGraph(GeneralVertexList(numVertices))
graph2.addEdge(1, 1)
graph2.addEdge(1, 4)
graph2.setVertex(1, "def")
graph3 = graph.concat(graph2)
self.assertTrue(graph3.getNumVertices, 10)
self.assertEquals(graph3.getVertex(0), "abc")
self.assertEquals(graph3.getVertex(6), "def")
self.assertEquals(graph3.getEdge(1, 1), 0.1)
self.assertEquals(graph3.getEdge(1, 3), 0.5)
self.assertEquals(graph3.getEdge(2, 4), 1)
self.assertEquals(graph3.getEdge(2, 3), 2)
self.assertEquals(graph3.getEdge(6, 6), 1)
self.assertEquals(graph3.getEdge(6, 9), 1)
def graphFromMatFile(matFileName):
"""
Generate a sparse graph from a Matlab file of ego and alters and their transmissions. This is a mostly
disconnected graph made up of pairs of connected vertices, i.e each vertex has degree 1.
"""
examplesList = ExamplesList.readFromMatFile(matFileName)
numExamples = examplesList.getNumExamples()
numFeatures = examplesList.getDataFieldSize("X", 1)
numVertexFeatures = numFeatures/2+1
vList = VertexList(numExamples*2, int(numVertexFeatures))
sGraph = SparseGraph(vList)
for i in range(0, examplesList.getNumExamples()):
v1Index = i*2
v2Index = i*2+1
example = examplesList.getSubDataField("X", numpy.array([i])).ravel()
vertex1 = numpy.r_[example[0:numFeatures/2], numpy.array([1])]
vertex2 = numpy.r_[example[numFeatures/2:numFeatures], numpy.array([0])]
sGraph.setVertex(v1Index, vertex1)
sGraph.setVertex(v2Index, vertex2)
sGraph.addEdge(v1Index, v2Index)
return sGraph
# -*- coding: utf-8 -*- import scipy.sparse as sps from apgl.graph.GeneralVertexList import GeneralVertexList from apgl.graph.SparseGraph import SparseGraph numVertices = 10 vList = GeneralVertexList(numVertices) Wght = sps.lil_matrix((numVertices, numVertices)) graph = SparseGraph(vList, W=Wght, undirected=False) # Add some edges to the graph. # Vertices are indexed starting from 0. graph[0, 1] = 1 graph[0, 2] = 1 # Set the label of the 0th vertex to [2, 3]. graph.setVertex(0, "abc") graph.setVertex(1, 123) print(graph.inDegreeDistribution())
Data: December, 2016 function: """ import numpy from apgl.graph.VertexList import VertexList from apgl.graph.SparseGraph import SparseGraph numVertex = 5 numFeature = 2 # vector labels of size 2 graph = SparseGraph(VertexList(numVertex, numFeature)) # Add some edges to the graph(method 1) # Vertices are indexed starting from 0 # graph[0, 1] = 0.1 # graph[1, 2] = 1 # Add some edges to the graph(method 2 is identity to method 1) edges = numpy.array([[0, 1], [1, 2]], numpy.int) edgeValues = numpy.array([0.1, 1]) graph.addEdges(edges, edgeValues) # Set the label of 0th vertex to [2, 3] graph.setVertex(0, numpy.array([2, 3])) # Displays edge weights print(graph[1, 2]) print(graph[1, 3])
""" Name: Generate Graph: Author: Jia_qiu Wang(王佳秋) Data: December, 2016 function: """ import numpy import scipy.sparse as sps from apgl.graph.GeneralVertexList import GeneralVertexList from apgl.graph.SparseGraph import SparseGraph numVertices = 10 vList = GeneralVertexList(numVertices) wght = sps.csc_matrix(numVertices, numVertices) graph = SparseGraph(vList, W=wght, undirected=False) graph[0, 1] = 1 graph[0, 2] = 1 graph.setVertex(0, "abc") graph.setVertex(1, 123) print(graph)
#!/usr/bin/env python import numpy as np from apgl.graph.VertexList import VertexList from apgl.graph.SparseGraph import SparseGraph numVertices = 5 numFeatures = 2 graph = SparseGraph(VertexList(numVertices, numFeatures)) # Add some edges to the graph. # Vertices are indexed starting from 0. graph[0, 1] = 0.1 graph[1, 2] = 1.0 # Set the label of the 0th vertex to [2, 3]. graph.setVertex(0, np.array([2, 3])) # Display edge weights. print(graph[1, 2]) # 1.0 print(graph[1, 3]) # 0.0 (default) # Add some edges to the graph. edges = np.array([[0, 1], [1, 2]], np.int) edgeValues = np.array([0.1, 1.0]) graph.addEdges(edges, edgeValues) # Display the edge weight between v1 and v2. print(graph[1, 2])
