<｜begin▁of▁sentence｜>### Instruction:
Given an Erdős-Rényi graph with 100 nodes and a connection probability of 0.05, can you use the NMFADMM model, from the ICASSP ‘14 paper “Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence”, to get its embedding?
### Response:
import networkx as nx
from karateclub import NMFADMM

# Create a networkx graph
G = nx.erdos_renyi_graph(100, 0.05)

# Initialize NMFADMM model
model = NMFADMM(dimensions=32, iterations=100, rho=1.0, seed=42)

# Fit the model
model.fit(G)

# Get the embedding
embedding = model.get_embedding()

print(embedding)
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