<｜begin▁of▁sentence｜>### Instruction:
As an Aerospace Engineer working on a project to optimize aircraft design, you need to analyze a large network of interconnected components that make up the aircraft structure. Using NetworkX, you have access to a dataset stored in a file named large_graph.gml, which represents the complex network of these components.

In order to ensure the structural integrity and performance of the aircraft, you are tasked with identifying occurrences of a specific smaller triangular pattern within the larger network. By counting the number of subisomorphisms between the small triangle graph and subgraphs within the large network, you can determine how frequently this pattern appears and potentially optimize the design based on this analysis.
### Response:
from igraph import Graph

# Load graphs from file or define them
small_g = Graph([(0, 1), (1, 2), (2, 0)])  # Define a small triangle graph
large_g = Graph.Read_GML('large_graph.gml')  # Read a larger graph from a GML file

# Count the number of subisomorphisms from the small graph to the large graph
count = large_g.count_subisomorphisms_vf2(small_g)
print('Number of subisomorphisms:', count)
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