<｜begin▁of▁sentence｜>### Instruction:
Given a list of graphs generated using the Erdos-Renyi model with 50 nodes and a probability of edge creation of 0.1, how would you use the Invariant Graph Embedding model to generate embeddings for these graphs?
### Response:
import networkx as nx
from karateclub import IGE

# Creating a list of graphs
G1 = nx.erdos_renyi_graph(50, 0.1)
G2 = nx.erdos_renyi_graph(50, 0.1)
graphs = [G1, G2]

# Initializing the IGE model with default parameters
model = IGE()

# Fitting the IGE model with the list of graphs
model.fit(graphs)

# Getting the embeddings for the graphs
embeddings = model.get_embedding()

print(embeddings)
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