<｜begin▁of▁sentence｜>### Instruction:
Given a list of two undirected graphs, where the first graph contains nodes [0, 1, 2, 3] with edges between consecutive nodes, and the second graph contains nodes [1, 2, 3, 4] with edges between consecutive nodes, how can you generate a pairwise omnibus embedding for each pair of graphs in the list using the graspologic pipeline, specifically preserving the original edge weights, in a 2-dimensional embedding space using a randomized svd solver?
### Response:
import networkx as nx
from graspologic.pipeline import omnibus_embedding_pairwise

# List of graphs (here we create two simple undirected graphs for demonstration purposes)
G1 = nx.Graph()
G1.add_edges_from([(0, 1), (1, 2), (2, 3)])
G2 = nx.Graph()
G2.add_edges_from([(1, 2), (2, 3), (3, 4)])
graphs = [G1, G2]

# Generate the pairwise omnibus embeddings
embeddings = omnibus_embedding_pairwise(graphs=graphs, dimensions=2, svd_solver_algorithm='randomized')

# The function returns a list of tuples containing the embeddings for each pair
for pair_embedding in embeddings:
    print(pair_embedding)
<|EOT|>
