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Graphs, Complex Domains, Question: How do we take advantage?, Underlying…
Graphs
are a
general language
for describing and analysing
entities
with
relations/interactions
is it same as??
Relational Graph
which results in
more faithful model
of the
underlying phenomena or data
explicit modelling of
relationships
making more
accurate predictions
Complex Domains
2 classes of data
Networks (Natural Networks)
e.g.
Communications and Transactions
Communication Networks
Internet
Computer Networks
Economic Networks
Biology
Food Webs
Regulatory Networks
Disease Pathways
Network of Neurons
Social Networks
Transportation
Underground Networks
Graphs (as representation)
e.g.
Biology
Molecules
Similarity Networks ???
Physics
Particle Networks
Software
Code Graphs
Geometry
3D Shapes
Information/ Knowledge
Knowledge Graphs
Scene Graphs
Citation Networks
Discrete Event Simulation
Event Graph
Structural differences are blurred
have rich
relational structure
which can be represented as
Question: How do we take advantage?
of the
Underlying domain is naturally represented as graphs