<｜begin▁of▁sentence｜>### Instruction:
Given a list of Erdös-Rényi random graphs with 50 nodes and a probability of edge creation of 0.1, can you use the GeoScattering model to generate graph spectral descriptors and obtain their embeddings?
### Response:
import networkx as nx
from karateclub import GeoScattering
import numpy as np

# Generate random graphs using a stochastic graph model
G1 = nx.erdos_renyi_graph(50, 0.1)
G2 = nx.erdos_renyi_graph(50, 0.1)

# Create a list of graphs
graphs = [G1, G2]

# Initialize the GeoScattering model
model = GeoScattering(order=4, moments=4, seed=42)

# Fit the model
model.fit(graphs)

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

print(embedding)
<|EOT|>
