<｜begin▁of▁sentence｜>### Instruction:
Given a karate club graph, can you use the 'NNSED' model from the CIKM '17 paper 'A Non-negative Symmetric Encoder-Decoder Approach for Community Detection' to find the node embeddings and community memberships? Provide the resulting embeddings and memberships for this graph.
### Response:
import networkx as nx
from karateclub import NNSED

# Create a graph
g = nx.karate_club_graph()

# Initialize NNSED model with default parameters
model = NNSED()

# Fit the model to the graph
model.fit(g)

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

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