Graph Neural Networks

Graph Structures are found everywhere: Give me four examples

1.) Social Networks

2.) Citation Networks

3.)Traffic Routes

4.) Caffeine Molecules

What are the three core Graph Learning Tasks?

1.) Node Classification

2.) Edge prediction

3.)Nodes and edges together = graph prediction itself; i.e. drug prediction, where we have atoms as nodes, and chemical bonds as edges

Why are audioforms not a good example of GNNs?

They are 1d series sequential data

What is a graph level task really doing?

It must predict the entire structure itself. It cannot rely on just doing nodes or edges. The whole is greater than the sum of the parts. Why does a holistic approach work better than decomposition?

What are two types of qualtiifvie risk in company risk?

What is the form of mezzanine debt?

Convertible debt;

Bonds with warrants

What are three applications of the node level?

Applications for edge level?

also include the other example, which is freidn suggestion (so the two idaes here are videos and freinds)

Three types of graph classicfaiont

What comes before mezzanine debet?

high yield bond; double chekc thsi

What are two exmples of mezzanine debt?

convertible debt and bonds with warrants

What comes after senior unsecured debt?

senior subooridnated debt