<｜begin▁of▁sentence｜>### Instruction:
Given the parameters: number of nodes (n=5), number of attributes (m=3), a list of probabilities (p=[0.5, 0.3, 0.2]) for connecting nodes to each attribute, and a random seed (seed=42), can you create a general random intersection graph using NetworkX?
### Response:
import networkx as nx

# Generate a general random intersection graph
n = 5  # Number of nodes
m = 3  # Number of attributes
p = [0.5, 0.3, 0.2]  # Probabilities of connecting nodes to each attribute
seed = 42  # Random seed

# Create the graph
G = nx.generators.general_random_intersection_graph(n, m, p, seed)

# Print the resulting graph
print(G.edges())
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