<｜begin▁of▁sentence｜>### Instruction:
As a wildlife rehabilitator, you are experienced in providing care and treatment to injured or orphaned wildlife for eventual release into the wild. You have recently received a list of animals requiring rehabilitation, including a group of ducks and a lone fawn. You are wondering if the GL2Vec model can be used to generate embeddings for these animals to assist in their rehabilitation process and eventual release back into the wild.
### Response:
import networkx as nx
from karateclub import GL2Vec
import matplotlib.pyplot as plt

# Create example graphs
G1 = nx.cycle_graph(4)
G2 = nx.star_graph(4)

# Create a list of graphs
graphs = [G1, G2]

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

# Fit the model
model.fit(graphs)

# Get the embedding
embedding = model.get_embedding()

print(embedding)
<|EOT|>
