<｜begin▁of▁sentence｜>### Instruction:
Given the Margulis-Gabber-Galil undirected MultiGraph that has a regular degree of 8 and a second-largest eigenvalue of the adjacency matrix of the graph is at most 5sqrt{2}, create and visualize this graph for n=4, which results in a graph of n^2 nodes. How can you use NetworkX to generate and visualize this specific graph?
### Response:
import networkx as nx

# Generate a Margulis-Gabber-Galil graph on 16 nodes
n = 4
G = nx.margulis_gabber_galil_graph(n)

# Print the number of nodes and edges in the graph
print(f'Number of nodes: {G.number_of_nodes()}')
print(f'Number of edges: {G.number_of_edges()}')

# Draw the graph
import matplotlib.pyplot as plt
nx.draw(G, with_labels=True)
plt.show()
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