<｜begin▁of▁sentence｜>### Instruction:
Imagine you're tasked with inspecting two architectural blueprints: one outlining a circular structure of six interconnected rooms (Blueprint G1), much like a harmonious community ring, and the other illustrating a central hub room with six spokes leading to individual rooms, forming a wheel-like layout (Blueprint G2). You've been given the assignment to assess the similarity of these designs by determining the least amount of alterations needed to convert the circular blueprint into the wheel blueprint. To do this, you'll utilize a tool akin to NetworkX's optimize_graph_edit_distance function. Your goal is to calculate the minimum number of changes—such as adding or removing walls or doors—required to morph the six-room cycle into the seven-room wheel configuration, considering the designs as network structures. Could you please draft a report on this assessment, ensuring to use the technical knowledge at your disposal to evaluate these two architectural plans?
### Response:
import networkx as nx

# Example Graphs
G1 = nx.cycle_graph(6)
G2 = nx.wheel_graph(7)

# Calculate Graph Edit Distance
edit_distance_gen = nx.optimize_graph_edit_distance(G1, G2)

# Find minimum edit distance
min_edit_distance = next(edit_distance_gen)
print('Minimum Graph Edit Distance:', min_edit_distance)
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