Handshake Problem: Graph Representation

Introduces graph theory, network flows, and flow conservation laws with practical examples and theorems.

Explores the convergence of random walks on graphs and the properties of weighted adjacency matrices.

Covers graphical models for probabilistic distributions using graphs, nodes, and edges.

Explores Cheeger's inequalities for random walks on graphs and their implications.

Explores Belief Propagation in graphical models, factor graphs, spin glass examples, Boltzmann distributions, and graph coloring properties.