<｜begin▁of▁sentence｜>### Instruction:
Given two Erdős-Rényi graphs each with 50 nodes and a connection probability of 0.1, can you use the 'GeoScattering' model to obtain a graph-level feature embedding that leverages geometric scattering with wavelet transforms?
### Response:
import networkx as nx
from karateclub import GeoScattering
import matplotlib.pyplot as plt

# Create sample graphs
G1 = nx.erdos_renyi_graph(n=50, p=0.1)
G2 = nx.erdos_renyi_graph(n=50, p=0.1)

# List of graphs to embed
graphs = [G1, G2]

# Initialize GeoScattering with default parameters
model = GeoScattering()

# Fit the model
model.fit(graphs)

# Obtain the embedding
embedding = model.get_embedding()

# Print embedding
print(embedding)
<|EOT|>
