<｜begin▁of▁sentence｜>### Instruction:
As an International Aid Worker, you're tasked with managing relief efforts in regions affected by crises. Imagine you're coordinating aid distribution in a region represented by a graph, where vertices represent key locations labeled 'A', 'B', 'C', and 'D', and edges denote connections between them. Now, suppose you need to pinpoint a specific location, let's say 'C', to focus your resources effectively.

Additionally, you're required to identify a subset of locations with names that come after 'B' alphabetically. This information is crucial for planning the next phase of your relief operation.

To accomplish this task efficiently, you're looking to leverage the capabilities of the igraph library. Specifically, you're interested in using igraph's VertexSeq feature to locate the 'C' vertex and then select vertices whose labels are lexicographically greater than 'B'.
### Response:
from igraph import Graph

# Create a graph
vertices = ['A', 'B', 'C', 'D']
edges = [(0, 1), (0, 2), (2, 3)]
g = Graph(edges=edges)

# Assign names to vertices
g.vs['name'] = vertices

# Find a vertex based on name
vertex = g.vs.find(name_eq='C')

# Select vertices with an attribute (name) value larger than 'B'
selected_vertices = g.vs.select(name_gt='B')

# Print the name of the found vertex
print(f'Found vertex: {vertex['name']}')

# Print the names of selected vertices
print(f'Selected vertices: {[v['name'] for v in selected_vertices]}')
<|EOT|>
