<｜begin▁of▁sentence｜>### Instruction:
Certainly! Let's translate that scenario into an educational context.

Imagine we have a row of students doing a group activity, where each student passes a message to the next in line. The first and last students in the row have a card with a word on it, but the students in between do not have any cards yet. Our goal is to give each of these middle students a card with a word that makes sense based on the words at the beginning and end of the row. We are curious about whether we can use a certain method, known as the Harmonic function algorithm, to figure out which words should go on the cards for the students in the middle. 

How might this method help us predict the appropriate word labels for the students without cards based on the words already given to the terminal students in our classroom activity?
### Response:
import networkx as nx
from networkx.algorithms import node_classification

# Create a graph
G = nx.path_graph(4)
# Assign labels to the terminal nodes
G.nodes[0]['label'] = 'A'
G.nodes[3]['label'] = 'B'
# Print node data
print(G.nodes(data=True))
# Predict labels using the Harmonic function algorithm
predicted = node_classification.harmonic_function(G)
# Print predicted labels
print(predicted)
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