<｜begin▁of▁sentence｜>### Instruction:
Given a list of 10 GNP random graphs with 100 nodes and a probability of 0.1 for edge creation, can you use GL2Vec to generate embeddings for these graphs?
### Response:
import networkx as nx
from karateclub import GL2Vec

# List of NetworkX graphs
graphs = [nx.gnp_random_graph(100, 0.1) for _ in range(10)]

# Initialize GL2Vec model with default parameters
model = GL2Vec()

# Fit the model
model.fit(graphs)

# Get the embeddings
embeddings = model.get_embedding()

print(embeddings)
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