<｜begin▁of▁sentence｜>### Instruction:
As an experienced meeting, convention, and event planner, you are responsible for coordinating various aspects of events to ensure they are successful and memorable. Imagine you are tasked with organizing a corporate networking event where professionals from different industries will come together. Each participant is represented as a vertex in a graph, and each vertex has specific attributes such as 'color' and 'size' which represent the industry and the number of employees, respectively. You need to retrieve and print the names of these attributes from the graph to understand the composition of the attendees and tailor the event to their needs. In this scenario, you can utilize the NetworkX library in Python to work with the graph and extract the required information.
### Response:
import igraph as ig

# Create a new graph with some vertex attributes
g = ig.Graph(edges=[(0, 1), (1, 2)], vertex_attrs={'color': ['red', 'green', 'blue'], 'size': [10, 20, 30]})

# Get vertex attribute names
attribute_names = g.vs.attribute_names()

# Print the attribute names
print(attribute_names)
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