<｜begin▁of▁sentence｜>### Instruction:
Suppose you have two similar graphs representing social networks at two different time points. These graphs have the same set of nodes but might differ slightly in their edges due to evolving relationships between individuals. You want to perform a pairwise embedding to compare the two networks and assess their structural differences in a lower-dimensional space. How would you use the `omnibus_embedding_pairwise` function from graspologic on these two graphs to obtain this comparative embedding?
### Response:
import networkx as nx
from graspologic.pipeline import embed

# Create two graphs G1 and G2
G1 = nx.karate_club_graph()
G2 = G1.copy()
G2.remove_edge(0, 1)  # create a small difference by removing an edge

# Generate the pairwise omnibus embedding for the graphs
graphs = [G1, G2]
dims = 2  # Dimension for each embedding
omni_embeddings = embed.omnibus_embedding_pairwise(graphs, dimensions=dims)

# Each tuple contains embeddings for each graph
for i, (left, right) in enumerate(omni_embeddings):
    print(f'Embedding pair {i} for two graphs:')
    print('Graph 1 embedding:\n', left)
    print('Graph 2 embedding:\n', right)
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