Alpha Spaces

Deep Learning: Graphs to Generalization

A 12-week journey from graph fundamentals to the latest generative models.

Data is not always a grid—relationships matter.

Learning Objectives
  • Understand basic graph theory concepts: nodes, edges, adjacency.
  • Recognize the importance of graphs in representing complex data.
  • Compute adjacency and Laplacian matrices for a small graph.
Test Your Knowledge

Resources

math core

Graph Theory Basics – Brilliant.org

by Brilliant.org

View Resource (link)
applied paper

Semi-Supervised Classification with GCN

by Kipf & Welling (2017)

View Resource (pdf)
coding

Build Graph + Laplacian

by Spektral

View Resource (code)