<｜begin▁of▁sentence｜>### Instruction:
As a Project Scheduler overseeing two concurrent initiatives—let's call them Project G and Project H—both of which involve the same set of tasks (nodes). Project G follows a specific task dependency structure (edges) represented by the connections [(0,1), (0,2), (1,2), (1,3)]. Meanwhile, Project H has a slightly different dependency track involving the connections [(0,1), (1,2), (0,3)].

For effective management and to avoid any potential scheduling conflicts between the two projects, we must identify exclusive dependencies in Project G that are not present in Project H. Utilizing scheduling software that is analogous to NetworkX, how can we extract the distinct set of task dependencies from Project G's timeline which do not intersect with those of Project H's timeline?

Remember, we must keep the integrity of the projects' individual schedules while doing this analysis to ensure that we are managing our resources with the utmost efficiency. How would you frame the process of isolating these unique dependencies in our scheduling tool, ensuring we are comprehensive in our approach?
### Response:
import networkx as nx

# Create two graphs
G = nx.Graph([(0,1), (0,2), (1,2), (1,3)])
H = nx.Graph([(0,1), (1,2), (0,3)])

# Calculate the graph difference
R = nx.difference(G, H)

# Print nodes and edges of the resulting graph
print(R.nodes)
print(R.edges)
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