<｜begin▁of▁sentence｜>### Instruction:
Given the Power Grid Graph which you can read from a gml file named power.gml, can you use the overlapping community detection algorithm EnDNTM in cdlib to perform community detection? The algorithm should use an ensemble of pre-partitioned communities generated by the Louvain, Label Propagation, and Walktrap algorithms. After detecting overlapping communities, can you output the JSON representation of the detected communities?
### Response:
import networkx as nx
from cdlib import algorithms, NodeClustering

# Load the power grid graph
G = nx.read_gml('power.gml')

# Cluster the graph using Louvain, Label Propagation, and Walktrap algorithms
louvain_clusters = algorithms.louvain(G)
label_propagation_clusters = algorithms.label_propagation(G)
walktrap_clusters = algorithms.walktrap(G)

# Apply the EnDNTM overlapping community detection algorithm using the clusterings
clusterings = [louvain_clusters, label_propagation_clusters, walktrap_clusters]
endntm_communities = algorithms.endntm(G, clusterings)

# Generate the JSON representation of the EnDNTM clustering
endntm_json = endntm_communities.to_json()

print(endntm_json)
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