<｜begin▁of▁sentence｜>### Instruction:
As a travel writer, you're tasked with creating a list of 10 unique travel itineraries for a travel publication. Each itinerary should include visits to 100 different locations with a specified probability of 0.1 for each connection or travel route. To enhance the quality of the itineraries, you're interested in using the FeatherGraph model for creating network embeddings. The FeatherGraph model should be initialized with default parameters to ensure the most accurate and informative representations of the travel connections.
### Response:
import networkx as nx
from karateclub import FeatherGraph
import numpy as np

# Create a list to hold multiple graphs
graphs = [nx.gnp_random_graph(100, 0.1) for _ in range(10)]

# Instantiate the FeatherGraph model with default parameters
model = FeatherGraph()

# Fit the model to the list of NetworkX graphs
model.fit(graphs)

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

print(embeddings)
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