<｜begin▁of▁sentence｜>### Instruction:
Given a random graph generated with 100 nodes and a probability of 0.05 for edge creation (fast GNP random graph model), can you use the GLEE model from the Journal of Complex Networks ‘20 paper to generate node embeddings? The dimensions parameter should be set to 128 and the random seed should be set to 42.
### Response:
import networkx as nx
from karateclub import GLEE
import numpy as np

# Create a random graph
G = nx.fast_gnp_random_graph(100, 0.05)

# Initialize GLEE model with default parameters
glee_model = GLEE(dimensions=128, seed=42)

glee_model.fit(G)
embedding = glee_model.get_embedding()

# Print the embedding
print(embedding)
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