Lectures related to Dual graph

Explores algebraic graph theory applied to networked control systems and consensus algorithms.

Explores Regularity Lemmas and Density Theorems for graph partitioning and structure identification.

Covers linear programming duality and complementary slackness condition.

Explores entity disambiguation, graph embeddings, scoring functions, and learning methods.

Covers topics like DFS output, edge classification, acyclic graphs, correctness, time analysis, SCCs, and the Topological Sort algorithm.

Explores binary relations, Cartesian products, and applications between sets, emphasizing their properties and significance.

Explores Cheeger's inequality and its implications in graph theory.

Explores learning from interconnected data using graphs, covering challenges, GNN design, research landscapes, and democratization of Graph ML.