<｜begin▁of▁sentence｜>### Instruction:
As a fashion stylist, you are working on a photoshoot for a high-profile event, where you need to select and coordinate clothing and accessories for the participants. You’ve received the Zachary's Karate Club Graph, a social network representing the relationships between individuals in the club. You want to use the GEMSEC model from the ASONAM '19 paper 'GEMSEC: Graph Embedding with Self Clustering' to embed the individuals in a 32-dimensional space and then group them based on their relationships. Can you show the node embeddings and their respective cluster memberships?
### Response:
import networkx as nx
from karateclub import GEMSEC

# Create a graph
G = nx.karate_club_graph()

# Initialize GEMSEC model
model = GEMSEC(walk_number=5, walk_length=80, dimensions=32, negative_samples=5, 
              window_size=5, learning_rate=0.1, clusters=10, gamma=0.1, seed=42)

# Fit the model
model.fit(G)

# Get the embeddings and memberships
embeddings = model.get_embedding()
memberships = model.get_memberships()

print('Embeddings:\n', embeddings)
print('\nMemberships:\n', memberships)
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