<｜begin▁of▁sentence｜>### Instruction:
As an Information Security Analyst, imagine you've been tasked with safeguarding a company's network infrastructure against potential cyber threats. You've gathered data on two random networks generated using the GNP (Erdős-Rényi) model, each with 100 nodes. The first network has an edge probability of 0.5, while the second has an edge probability of 0.3.

To better understand the structure and potential vulnerabilities of these networks, you're considering utilizing the FGSD (Feature Generation by Spectral Decomposition) model. This model allows you to create comprehensive representations of the entire network, which can then be analyzed to identify potential security risks and vulnerabilities.

Your objective is to leverage the FGSD model to generate holistic representations of both networks, enabling you to perform in-depth security assessments and implement appropriate measures to protect against cyber threats and attacks.
### Response:
import networkx as nx
from karateclub import FGSD
import numpy as np

# Create a list of NetworkX graphs
graph_list = [nx.gnp_random_graph(100, 0.5), nx.gnp_random_graph(100, 0.3)]

# Initialize FGSD model with specified parameters
model = FGSD(hist_bins=200, hist_range=20, seed=42)

# Fit the model on the given graphs
model.fit(graph_list)

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

print(embeddings)
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