<｜begin▁of▁sentence｜>### Instruction:
Given a graph with weighted edges, can you use layout_umap function in graspologic to generate a UMAP layout for the largest connected component and plot the resulting positions of the nodes?
### Response:
import networkx as nx
from graspologic.layouts import layout_umap

# Create a sample graph with weighted edges
G = nx.Graph()
G.add_weighted_edges_from([(0, 1, 2.0), (1, 2, 3.0), (2, 3, 4.0), (3, 0, 5.0), (0, 2, 1.0)])

# Generate UMAP layout
umap_layout, node_positions = layout_umap(G, min_dist=0.8, n_neighbors=15, max_edges=100000, weight_attribute='weight', random_seed=42, adjust_overlaps=True)

# Extracting positions and plotting
pos = {node_position.node_id: (node_position.x, node_position.y) for node_position in node_positions}
nx.draw(umap_layout, pos, with_labels=True)
<|EOT|>
