<｜begin▁of▁sentence｜>### Instruction:
As a silviculturist responsible for managing and studying forests, trees, and timberlands to promote sustainable forestry practices, conservation, and ecosystem management, you are interested in understanding the structure and relationships within different ecosystems. You have obtained data on two GNP random graphs, each with 100 nodes and a 0.1 probability for edge creation, representing distinct ecosystem networks. Now, you are looking to apply the Invariant Graph Embedding (IGE) model to obtain embeddings that capture the unique characteristics of these ecosystems for further analysis.
### Response:
import networkx as nx
from karateclub import IGE
import numpy as np

# Create a list of NetworkX graphs
G1 = nx.gnp_random_graph(100, 0.1)
G2 = nx.gnp_random_graph(100, 0.1)
graphs = [G1, G2]

# Initialize the Invariant Graph Embedding model with default parameters
inge_model = IGE()

# Fit the model on the list of graphs
inge_model.fit(graphs)

# Get the embedding of the graphs
embeddings = inge_model.get_embedding()

print(embeddings)
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