<｜begin▁of▁sentence｜>### Instruction:
Given a karate_club_graph with identity features for each node, can you use the FeatherNode model to get its node embeddings?
### Response:
import networkx as nx
from karateclub import FeatherNode
import numpy as np
from scipy.sparse import coo_matrix

# Create a graph
G = nx.karate_club_graph()

# Create a feature matrix (identity matrix for example)
features = np.identity(G.number_of_nodes())
features_coo = coo_matrix(features)

# Instantiate a FeatherNode model with default parameters
model = FeatherNode()

# Fit the model
model.fit(G, features_coo)

# Get the embedding
embedding = model.get_embedding()
print(embedding)
<|EOT|>
