Introduction to Graph Machine Learning

The comprehensive overview you've provided captures the essence, applications, and the evolving methodologies of graph machine learning beautifully. Let's distill the core concepts and advancements in the field:

What is a Graph?

A graph is a mathematical structure used to model pairwise relations between objects. It consists of nodes (or vertices), which represent the objects, and edges (or links), which represent the connections or relationships between these objects. Graphs can be directed or undirected, and they can be homogeneous (all …

applications concepts core graph introduction machine machine learning nodes objects overview relations