<｜begin▁of▁sentence｜>### Instruction:
Given a list of two Erdos-Renyi graphs with 50 nodes and each edge included with probability 0.05, can you use the 'WaveletCharacteristic' model to get their embeddings?
### Response:
import networkx as nx
from karateclub import WaveletCharacteristic
import numpy as np

# Create example graphs
G1 = nx.erdos_renyi_graph(n=50, p=0.05)
G2 = nx.erdos_renyi_graph(n=50, p=0.05)
graphs = [G1, G2]

# Initialize and fit the model
descriptor = WaveletCharacteristic()
descriptor.fit(graphs)

# Get the graph embeddings
embeddings = descriptor.get_embedding()
print(embeddings)
<|EOT|>
