<｜begin▁of▁sentence｜>### Instruction:
Given an undirected graph with edge set [('A', 'B'), ('A', 'C'), ('B', 'C'), ('B', 'D'), ('C', 'D'), ('D', 'E'), ('E', 'F'), ('E', 'G'), ('F', 'G')], how can you compute the junction tree that represents the maximal cliques and the sepsets of the graph using NetworkX?
### Response:
import networkx as nx
from networkx.algorithms.tree.decomposition import junction_tree

# Create an undirected graph
G = nx.Graph()
G.add_edges_from([('A', 'B'), ('A', 'C'), ('B', 'C'), ('B', 'D'), ('C', 'D'), ('D', 'E'), ('E', 'F'), ('E', 'G'), ('F', 'G')])

# Compute the junction tree of the graph
j_tree = junction_tree(G)

# Print the nodes of the junction tree which are maximal cliques of G
for clique in j_tree.nodes():
    print(f'Clique: {clique}')
<|EOT|>
