子图同构的网络X匹配器

import numpy as np
from networkx.algorithms import isomorphism
import networkx as nx

B = [[0, 2, 1, 0, 0],
     [2, 0, 1, 0, 1],
     [1, 1, 0, 1, 0],
     [0, 0, 1, 0, 0],
     [0, 1, 0, 0, 0]]

A = [[0, 1, 1],
     [1, 0, 2],
     [1, 2, 0]]

G1 = nx.from_numpy_matrix(np.array(B), create_using=nx.MultiGraph())
G2 = nx.from_numpy_matrix(np.array(A), create_using=nx.MultiGraph())
GM = isomorphism.MultiGraphMatcher(G1,G2)
print(GM.subgraph_is_isomorphic())
print(GM.mapping)

打印 {0: 0, 1: 1, 2: 2} ,但事实并非如此。