<｜begin▁of▁sentence｜>### Instruction:
As a marine biologist, you're conducting research on the biodiversity of a specific coral reef ecosystem. You have collected data from 100 different coral species and have mapped their interactions through 200 observed relationships. Using the LaplacianEigenmaps model, could you create a 64-dimensional embedding to better understand the relationships and connections within this coral reef ecosystem?
### Response:
import networkx as nx
from karateclub import LaplacianEigenmaps

# Create a Graph
G = nx.gnm_random_graph(100, 200)

# Initialize Laplacian Eigenmaps model
model = LaplacianEigenmaps(dimensions=64, maximum_number_of_iterations=200, seed=42)

# Fit the model
model.fit(G)

# Get the embedding
embedding = model.get_embedding()

print(embedding)
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