<｜begin▁of▁sentence｜>### Instruction:
Imagine you're a Video Game Designer working on an innovative puzzle game set in a virtual world where physics and geometry blend to create mind-bending challenges. Your current project involves designing a level where players navigate through a three-dimensional maze constructed from the framework of a cube. Each corner of this cube represents a room, and the edges are the passageways between these rooms. This geometry, known in mathematical circles as the 3-regular Platonic Cubical Graph, consists of 8 interconnected rooms (nodes) and 12 passageways (edges) that form the skeleton of a cube.

To bring this level to life, you're considering using Python and the NetworkX library, a powerful combination for graph creation and manipulation. Your task involves coding this cubical graph structure into the game, generating a list of all passageways for debugging purposes, and creating a visualization to share with your team, enabling them to understand the structure visually better.

Could you draft a scenario where you've incorporated this cubical graph into your game using NetworkX for Python? Remember, the visualization will be a crucial asset for your presentation to the team, and listing all passageways will assist in ensuring that all connections between rooms are accurately represented in the game's design.
### Response:
import networkx as nx

def create_cubical_graph():
    # Create a cubical graph
    G = nx.cubical_graph()
    return G

# Use the function to create a cubical graph
H = create_cubical_graph()

# Print the edges of the cubical graph
print('Edges of the cubical graph:', H.edges())

# Draw the cubical graph
nx.draw(H, with_labels=True)
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