<｜begin▁of▁sentence｜>### Instruction:
Given the Adjacency Nouns Graph, which you can read from a GML file named adjnoun.gml, can you apply two community detection algorithms: Louvain and Walktrap, using cdlib? Then can you create a plot to visualize the relationship between the size of the communities and their internal edge density?
### Response:
from cdlib import algorithms, viz, evaluation
import networkx as nx

# Read the adjnoun graph
G = nx.read_gml('adjnoun.gml')

# Apply Louvain community detection algorithm
coms = algorithms.louvain(G)

# Apply Walktrap community detection algorithm
coms2 = algorithms.walktrap(G)

# Plot the relation between size and internal edge density of the communities detected by Louvain and Walktrap
lmplot = viz.plot_com_properties_relation([coms, coms2], evaluation.size, evaluation.internal_edge_density)
print('Plot created')
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