<｜begin▁of▁sentence｜>### Instruction:
Given two different graphs G1 and G2, where G1 has edges [(1,2), (2,3), (2,4), (3,5), (4,6), (5,7), (6,7)] and G2 has edges [(1,3), (2,3), (1,6), (1,5), (4,6)], can you compute the Weisfeiler-Lehman subgraph hashes for these graphs to find if there are any nodes in both graphs having similar local topologies?
### Response:
import networkx as nx

# Create two graphs
G1 = nx.Graph()
G1.add_edges_from([(1,2), (2,3), (2,4), (3,5), (4,6), (5,7), (6,7)])
G2 = nx.Graph()
G2.add_edges_from([(1,3), (2,3), (1,6), (1,5), (4,6)])

# Compute WL subgraph hashes
wl_hashes_g1 = nx.weisfeiler_lehman_subgraph_hashes(G1, iterations=3, digest_size=8)
wl_hashes_g2 = nx.weisfeiler_lehman_subgraph_hashes(G2, iterations=3, digest_size=8)

# Output the hashes for a specific node from each graph
print('Hashes for node 1 in G1:', wl_hashes_g1[1])
print('Hashes for node 5 in G2:', wl_hashes_g2[5])
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