<｜begin▁of▁sentence｜>### Instruction:
Given two randomly generated graphs with 100 nodes and 200 edges each, can you use the FGSD model to get a whole graph representation using the histogram of the spectral features? Please provide the resulting embeddings.
### Response:
import networkx as nx
from karateclub import FGSD

# Creating a list of NetworkX graphs
graphs = [nx.gnm_random_graph(100, 200), nx.gnm_random_graph(100, 200)]

# Initializing FGSD with specified number of histogram bins and range
model = FGSD(hist_bins=200, hist_range=20, seed=42)

# Fitting the FGSD model
model.fit(graphs)

# Getting the embedding of the graphs
embedding = model.get_embedding()

print(embedding)
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