<｜begin▁of▁sentence｜>### Instruction:
Given a graph with edge sets that form two separate cycles: one cycle connecting nodes (1, 2, 4, 3) and the other connecting nodes (5, 6, 7, 8), how can we find all maximal subgraphs that are k-edge-connected with k=3 using NetworkX?
### 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),
]
G.add_nodes_from(it.chain(*paths))
G.add_edges_from(it.chain(*[pairwise(path) for path in paths]))

# Find all maximal k-edge-connected subgraphs in the graph
k = 3
subgraphs = list(nx.k_edge_subgraphs(G, k))
print('Maximal {}-edge-connected subgraphs:'.format(k))
for subgraph in subgraphs:
    print(sorted(subgraph))
<|EOT|>
