<｜begin▁of▁sentence｜>### Instruction:
Oh boy, folks, have you ever found yourself staring at a graph—no, not the one from your high school math class that made you snooze, I'm talking about one of those fancy network graphs? Let's say you've got a trio of edges playing a game of connect-the-dots with points 1, 2, 3, and 4. They're having a blast with the links (1, 2), (2, 3), and (3, 4), right?

Now, imagine you're a magician with a graph up your sleeve, and for your next trick, you want to make that (2, 3) edge vanish. Poof! Gone! But it's not really gone—you want to pull a Houdini on it and make it disappear for a moment, then bring it back later to thunderous applause. 

How would you, the grand illusionist of graph land, sneakily hide that pesky (2, 3) edge in NetworkX without it actually leaving the graph? Keep in mind, it's still there, it's just under an invisibility cloak, ready to reappear for the grand finale. Let's say you've got this act all plotted out in a GML file named "Graph_of_Mystery.gml". Remember, it's all about keeping the show going while that edge takes a little break backstage. Can you feel the magic in the air?
### Response:
import networkx as nx

# Create a graph and add edges
G = nx.Graph()
G.add_edges_from([(1, 2), (2, 3), (3, 4)])

# Hide the edge (2, 3)
H = nx.hide_edges(G, [(2, 3)])

# Check if the edge (2, 3) is in the graph
print((2, 3) in H.edges())
# Output should be False since the edge (2, 3) is hidden
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