<｜begin▁of▁sentence｜>### Instruction:
Given a directed distance graph (e.g., a k-nearest neighbor graph with Euclidean distances between points), can you compute the symmetrized UMAP weights and use them to create a UMAP layout for visualization?
### Response:
import igraph as ig

# Assume 'directed_graph' is a directed graph with edges distances
# as distance graph, typically a kNN graph
weights = ig.umap_compute_weights(directed_graph, directed_graph.es['distance'])

# Once the weights are computed, use them for UMAP layout
layout = directed_graph.layout_umap(weights=weights)

# Now you can plot the graph using its UMAP layout
ig.plot(directed_graph, layout=layout, vertex_label=directed_graph.vs['label'])
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