<｜begin▁of▁sentence｜>### Instruction:
Given a list of two Erdos-Renyi random graphs with '100' nodes and '0.05' probability for edge creation, how can you use the 'GeoScattering' model to get graph-level features as embeddings for these graphs?
### Response:
import networkx as nx
from karateclub import GeoScattering
import numpy as np

# Creating an example list of graphs
g1 = nx.fast_gnp_random_graph(100, 0.05)
g2 = nx.fast_gnp_random_graph(100, 0.05)
graphs = [g1, g2]

# Initializing GeoScattering with default parameters
model = GeoScattering()

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

# Get the embedding of the fitted graphs
embedding = model.get_embedding()

print(embedding)
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