<｜begin▁of▁sentence｜>### Instruction:
As a cinematographer, imagine you are tasked with capturing the visual elements of a complex network of interconnected characters in a film. Your goal is to identify all the significant groupings of characters, known as cliques, that contain at least two members. Utilizing the networkx library, you are tasked with using the maximal_cliques function to identify these cliques and visually represent them in a meaningful way for the film's director and producers.
### Response:
from igraph import Graph

# Define your graph
edges = [(0, 1), (0, 2), (0, 3), (1, 2), (1, 4), (2, 3)]
g = Graph(edges)

# Find maximal cliques in the graph
max_cliques = g.maximal_cliques(min=2, max=0)

# Print max_cliques
print('Maximal Cliques:', max_cliques)
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