<｜begin▁of▁sentence｜>### Instruction:
As a network analyst, you have been tasked with analyzing two Erdős-Rényi graphs, each consisting of 100 nodes and having a connection probability of 0.05, representing a social network and a communication network. Using the 'GeoScattering' model, you are required to generate graph spectral descriptors and obtain their embeddings to understand the overall network structure and relationships between nodes. This analysis will provide valuable insights into the network's dynamics and potential areas of influence.
### Response:
import networkx as nx
from karateclub import GeoScattering
import matplotlib.pyplot as plt

# Step 1: Create sample graphs
G1 = nx.erdos_renyi_graph(100, 0.05)
G2 = nx.erdos_renyi_graph(100, 0.05)
graphs = [G1, G2]

# Step 2: Initialize the GeoScattering model
geo_scattering_model = GeoScattering(order=4, moments=4, seed=42)

# Step 3: Fit the model with graphs
geo_scattering_model.fit(graphs)

# Step 4: Get the embedding of the graphs
embeddings = geo_scattering_model.get_embedding()

print(embeddings)
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