<｜begin▁of▁sentence｜>### Instruction:
As a network analyst, you may be interested in using the subisomorphic_lad function in networkx to determine if a smaller template graph matches a part of a larger graph. For instance, imagine you are working with a transportation network graph representing a city's road system, with various intersections and roads as edges. You are interested in finding out if a specific set of road connections, represented by a template graph, can be found within the larger road network. The subisomorphic_lad function can help with this by determining if the template graph is a subgraph of the original graph and providing the mapping of vertices. This can be valuable in identifying specific patterns or structures within the overall transportation network.
### Response:
import igraph as ig

# Create the original graph
g = ig.Graph(edges=[(0, 1), (1, 2), (2, 3), (3, 0), (1, 3)])

# Create the template graph to look for
other = ig.Graph(edges=[(0, 1), (1, 2)])

# Check if 'other' is a subgraph of 'g'
result = g.subisomorphic_lad(other, return_mapping=True)
is_subisomorphic, mapping = result

print('Is subisomorphic:', is_subisomorphic)
if is_subisomorphic:
    print('Mapping:', mapping)
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