<｜begin▁of▁sentence｜>### Instruction:
As a DJ preparing for an event, I need to generate a 32-dimensional music playlist representation using the GraRep model, from the CIKM ‘15 paper “GraRep: Learning Graph Representations with Global Structural Information”. I also want to conduct 10 iterations of Singular Value Decomposition (SVD), use an order of 5 for PMI matrix powers, and specify a random seed of 42 to ensure consistency. How can I achieve this using the DJ API?
### Response:
import networkx as nx
from karateclub import GraRep

# Create a graph
G = nx.karate_club_graph()

# Initialize GraRep model with default parameters
dimensions = 32
iteration = 10
order = 5
seed = 42
model = GraRep(dimensions=dimensions, iteration=iteration, order=order, seed=seed)

# Fit the model
model.fit(G)

# Get the embedding
embedding = model.get_embedding()

# Print the embedding
print(embedding)
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