<｜begin▁of▁sentence｜>### Instruction:
Given an Erdős–Rényi graph with 10 vertices and 20 edges, after removing loop edges, how can you calculate and display the inverse log-weighted similarity matrix between its vertices using the igraph module?
### Response:
import igraph as ig

# Create a graph
g = ig.Graph.Erdos_Renyi(n=10, m=20)

# Remove loop edges
g.simplify(multiple=False, loops=True)

# Calculate the inverse log-weighted similarity
similarity_matrix = g.similarity_inverse_log_weighted()

# Print the similarity matrix
print(similarity_matrix)
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