<｜begin▁of▁sentence｜>### Instruction:
Given a list of 10 Erdős-Rényi graphs (each with 100 nodes and probability 0.1 of edge creation), how can you use the FGSD model to obtain a whole graph representation embedding?
### Response:
import networkx as nx
from karateclub import FGSD

# Create a list of graphs
graphs = [nx.gnp_random_graph(100, 0.1) for _ in range(10)]

# Initialize the FGSD model with default parameters
model = FGSD()

# Fit the FGSD model
model.fit(graphs)

# Get the embedding
embedding = model.get_embedding()

# Print the result
print(embedding)
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