<｜begin▁of▁sentence｜>### Instruction:
Imagine you're an esteemed author who has penned a fascinating narrative, in which the protagonists, labeled '1' and '2', are introduced. Their fates are intertwined by a pivotal plot point, symbolized by the connection '3'. This captivating tale has been meticulously mapped out in the form of a GraphML document, capturing the essence of their relationship in a structured graph format. As your literary agent, I'm intrigued by this innovative approach and propose we explore this graph more deeply to better understand the intricacies of your characters' connection. Could we utilize the renowned tool NetworkX and its parse_graphml function to translate this GraphML data into an analytical graph representation that NetworkX can decipher? I think this could give us a new perspective on your narrative's architecture and possibly enhance the way we pitch it to publishers. The graph's file name, for reference, could be "character-connections.graphml". How does this sound for our next strategic move?
### Response:
import networkx as nx

# String containing GraphML data
graphml_string = """<?xml version='1.0' encoding='UTF-8'?>
<graphml xmlns='http://graphml.graphdrawing.org/xmlns'
         xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance'
         xsi:schemaLocation='http://graphml.graphdrawing.org/xmlns
         http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd'>
  <graph id='G' edgedefault='undirected'>
    <node id='1'/>
    <node id='2'/>
    <edge id='3' source='1' target='2'/>
  </graph>
</graphml>"""

# Parse GraphML data
G = nx.parse_graphml(graphml_string)

# Show the parsed graph
print(nx.info(G))
<|EOT|>
