<｜begin▁of▁sentence｜>### Instruction:
As an assistant with expertise in networkx, I can definitely help with that. Suppose you are a glassblower who is hosting an exhibition to showcase your artwork. To enhance the presentation, you would like to create a digital visualization of the layout of the gallery with your glass sculptures displayed as nodes connected by the pathways. After generating the layout of the gallery using the cubical_graph function from NetworkX, you would like to use Matplotlib to add node labels and visualize the gallery layout with your sculptures. I can guide you through this process using the cubical_graph function from the NetworkX API and integrating it with Matplotlib for visualization.
### Response:
import networkx as nx
import matplotlib.pyplot as plt

# Create a simple graph
G = nx.cubical_graph()

# Draw the graph using Matplotlib
nx.draw(G, with_labels=True)

# Show the Matplotlib plot
plt.show()
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