<｜begin▁of▁sentence｜>### Instruction:
Imagine you're an archaeologist examining a recently discovered ancient city with 100 excavation sites. You suspect that there might be connections or clusters of related sites within the city. Using a technique called SymmNMF, can you analyze the relationships between the sites, generate embeddings for each site, and identify which sites belong to the same clusters?
### Response:
import networkx as nx
from karateclub import SymmNMF
import numpy as np

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

# Initialize the SymmNMF model with default parameters
model = SymmNMF()

# Fit the model to the graph
model.fit(G)

# Get the resulting node embeddings
embeddings = model.get_embedding()

# Get the cluster memberships of nodes
memberships = model.get_memberships()

print(embeddings)
print(memberships)
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