<｜begin▁of▁sentence｜>### Instruction:
Given a graph G with 5 nodes and 4 edges, where the node set is (0, 1, 2, 3, 4) and the edge set is [(0, 1), (0, 2), (1, 3), (2, 4)], can you use the NodeSketch model to generate low-order node embeddings and recursively generate higher-order node embeddings? After fitting the model with the specified dimensions and iterations, what is the embedding of the nodes?
### Response:
import networkx as nx
from karateclub import NodeSketch

# Creating a graph with 5 nodes
G = nx.Graph()
G.add_nodes_from([0, 1, 2, 3, 4])
G.add_edges_from([(0, 1), (0, 2), (1, 3), (2, 4)])

# Define NodeSketch with specified dimensions and iterations
model = NodeSketch(dimensions=16, iterations=3, decay=0.01, seed=42)

# Fit the model
model.fit(G)

# Get the embedding
embedding = model.get_embedding()

print(embedding)
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