<｜begin▁of▁sentence｜>### Instruction:
Given parameters n=5 (number of nodes in the first bipartite set), m=3 (number of nodes in the second bipartite set), p=0.4 (probability of connecting nodes between bipartite sets), and seed=42 (for reproducible randomness), can you generate a uniform random intersection graph and list its edges using NetworkX?
### Response:
import networkx as nx
from networkx.generators.intersection import uniform_random_intersection_graph

# Parameters
definition={'n': 5, 'm': 3, 'p': 0.4, 'seed': 42}

# Create a uniform random intersection graph
G = uniform_random_intersection_graph(definition['n'], definition['m'], definition['p'], seed=definition['seed'])

# Print the edges of the graph
print('Edges of the graph:', list(G.edges()))
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