<｜begin▁of▁sentence｜>### Instruction:
Given a list of 10 random graphs each with 100 nodes and a probability 0.1 for edge creation (Erdos-Renyi model), can you use the FeatherGraph model to obtain their embeddings? The FeatherGraph model should be initialized with default parameters.
### 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)
<|EOT|>
