<｜begin▁of▁sentence｜>### Instruction:
Imagine you're examining the structural layout of two different foundation designs, represented by geometric graphs due to their relation to stability analysis. The first design, which we'll call Foundation A, has a support structure akin to a cycle graph with six pillars (nodes). Now, consider Foundation B, which is designed with a central core support, resembling a wheel graph with seven points of contact with the ground, including the center node.

To evaluate the efficiency of modifying the existing design of Foundation A to match the newer model of Foundation B, you're interested in determining the least number of alterations needed. These alterations can be viewed as additions or removals of supports (edges) and repositioning or changing the number of pillars (nodes).

As you plan to use NetworkX for analysis, could you reframe the question of determining the minimum number of modifications required to convert the cycle graph of Foundation A into the wheel graph of Foundation B in terms of computing the minimum graph edit distance (GED) between them using NetworkX's optimize_graph_edit_distance function? This will be crucial to estimate the efforts and costs involved in making the structural design transition.
### Response:
import networkx as nx

G1 = nx.cycle_graph(6)
G2 = nx.wheel_graph(7)
min_ged = float('inf')
for ged in nx.optimize_graph_edit_distance(G1, G2):
    min_ged = min(min_ged, ged)
print(f'Minimum Graph Edit Distance between G1 and G2: {min_ged}')
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