<｜begin▁of▁sentence｜>### Instruction:
Given a Barabasi-Albert graph with 50 nodes each with 2 edges connecting to existing nodes, how can you use the DANMF model to determine the node embeddings and their community memberships?
### Response:
import networkx as nx
from karateclub import DANMF

# Create an instance of the DANMF model with custom parameters
model = DANMF(layers=[32, 8], pre_iterations=100, iterations=100, seed=42, lamb=0.01)

# Generate a synthetic graph
G = nx.barabasi_albert_graph(50, 2)

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

# Get the bottleneck layer embeddings of the nodes
embeddings = model.get_embedding()

# Get the cluster memberships of each node
memberships = model.get_memberships()

# Display the results
print('Embeddings:', embeddings)
print('Memberships:', memberships)
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