<｜begin▁of▁sentence｜>### Instruction:
As a Radiologic Technologist, you are tasked with using medical imaging equipment to produce images of internal body structures for medical diagnosis or treatment planning. Imagine a scenario where you're working in a hospital and are tasked with analyzing a series of X-ray images to understand the structure of a patient's body. You need to use the equipment, adjust the settings, and ensure the quality of the imaging results. In a similar way, you can think of a network graph as a complex structure that needs to be visualized for analysis. In this case, you can use the networkx library in Python to read a graph from a file called "network.gml" and then apply the layout_auto function to automatically select an appropriate layout based on the graph's properties. After applying the layout, you can retrieve the coordinates and visualize the graph plot to gain insights from the network's structure, similar to analyzing the internal body structures in medical imaging.
### Response:
from igraph import Graph

# Load graph from a file
graph = Graph.Read('network.gml')

# Automatically choose and run a layout
layout = graph.layout_auto()

# Retrieve the layout as a list of tuples (x, y)
layout_coords = layout.coords

# You can plot the graph using the obtained layout
igraph.plot(graph, layout=layout)
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