<｜begin▁of▁sentence｜>### Instruction:
Thank you for calling TechGraph Assistance, how can I help you today? Oh, you need guidance on creating a graph that reflects overlapping timeframes? Sure thing! Imagine you're looking at a schedule where different tasks have their own specific durations, like appointments on a calendar. These tasks are represented by time slots such as:

- Task A from -2 to 3,
- Task B from 1 to 4,
- Task C from 2 to 3, and
- Task D from 4 to 6.

You want to visualize which tasks are happening at the same time. To achieve this, we can create a visual diagram, which, in a professional setting, we would refer to as an "interval graph". In this graph, each task is a point, and we draw a line connecting points if the tasks overlap.

If you're asking for the connections (we call them 'edges') that would exist between these tasks in the graph because of their overlapping times, I can certainly visualize that for you. But just to make sure we are on the same page, you wouldn't need me to list out those edges right now, right? You're just looking to understand how we'd structure this in our diagram?
### Response:
import networkx as nx

# Define a list of intervals
intervals = [(-2, 3), (1, 4), (2, 3), (4, 6)]

# Generate an interval graph from the list of intervals
G = nx.interval_graph(intervals)

# Print sorted edges of the graph to show intersections
sorted_edges = sorted(G.edges())
print(sorted_edges)
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