<｜begin▁of▁sentence｜>### Instruction:
As a massage therapist, imagine you have a list of 10 clients who have been experiencing muscle tension and stress related to their work environments. Each client has 20 specific trigger points on their body that need attention. You have been using a particular massage technique, called the GL2Vec method, to help your clients experience relief and relaxation.

How can you use the GL2Vec model to obtain the specific muscle trigger point "embeddings" for each client, allowing you to tailor your massage techniques to their individual needs and provide them with targeted relief and wellness?
### Response:
import networkx as nx
from karateclub import GL2Vec

# List of graphs
graphs = [nx.gnp_random_graph(20, 0.05) for _ in range(10)]

# Initialize GL2Vec with predefined hyperparameters
model = GL2Vec(wl_iterations=2, dimensions=128, workers=4, down_sampling=0.0001,
               epochs=10, learning_rate=0.025, min_count=5, seed=42)

# Fit the model
model.fit(graphs)

# Get the embeddings
embeddings = model.get_embedding()

print(embeddings)
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