<｜begin▁of▁sentence｜>### Instruction:
Given a graph with two separate paths defined as (1, 2, 4, 3, 1, 4) and (5, 6, 7, 8, 5, 7, 8, 6), can you generate each maximal 3-edge-connected subgraph using the NetworkX `k_edge_subgraphs` function?
### Response:
import networkx as nx
import itertools as it
from networkx.utils import pairwise

# Create a graph
G = nx.Graph()
paths = [
    (1, 2, 4, 3, 1, 4),
    (5, 6, 7, 8, 5, 7, 8, 6),
]
# Add nodes and edges
G.add_nodes_from(it.chain(*paths))
G.add_edges_from(it.chain(*[pairwise(path) for path in paths]))

# Get the maximal k-edge-connected subgraphs with k=3
result = sorted(map(sorted, nx.k_edge_subgraphs(G, k=3)))
print(result)
<|EOT|>
