<｜begin▁of▁sentence｜>### Instruction:
As a network analysis specialist, I can certainly help you with that. Imagine you are a data scientist working at a technology company exploring the behavior of users on an online platform. You are interested in analyzing a social network of 100 users and their interactions, using a probability of 0.05 for the likelihood of connection between any pair of users. You want to apply the NNSED algorithm to determine the optimal arrangement of the network and each user's group membership based on their relationships.
### Response:
import networkx as nx
from karateclub import NNSED

# Example graph creation
G = nx.erdos_renyi_graph(100, 0.05, seed=42)

# Create NNSED instance with custom parameters
nn_sed = NNSED(layers=32, iterations=100, seed=42, noise=1e-6)

# Fit the model to the graph
nn_sed.fit(G)

# Get the bottleneck layer embeddings
embeddings = nn_sed.get_embedding()

# Get the node cluster memberships
memberships = nn_sed.get_memberships()

# Outputs
print(embeddings)
print(memberships)
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