<｜begin▁of▁sentence｜>### Instruction:
A researcher is analyzing protein-protein interaction networks from two different species to find the best alignment that maps proteins from one species to the other. The goal is to maximize the overlap of interactions (edges) between these networks to suggest potential functional similarities. Given the adjacency matrices of both networks, how can the researcher effectively find a matching that suggests a probable evolutionary relationship between proteins across species?
### Response:
```python
import networkx as nx
from graspologic.match import graph_match
import numpy as np

# Create two random graphs G1 and G2
A = nx.to_numpy_array(nx.gnm_random_graph(6, 15, seed=42))
B = nx.to_numpy_array(nx.gnm_random_graph(6, 10, seed=24))

# Solve the Graph Matching Problem between G1 and G2
result = graph_match(A, B)

# Print the index matching from G1 to G2
print(f'Indices A: {result.indices_A}')
print(f'Indices B: {result.indices_B}')

# Print the score of the matching
print(f'Matching score: {result.score}')
```
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