Graphs: Properties and Representations

Related lectures (29)

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Covers graphical models for probability distributions and factor graphs representation.

Focuses on fixed points in graph theory and their implications in algorithms and analysis.

Explores Breadth-First Search and Dijkstra's algorithm for finding shortest paths in graphs.

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

Introduces the basics of graphs and networks, covering definitions, paths, trees, flows, circulation, and spanning trees.

Covers handling network data, types of graphs, centrality measures, and properties of real-world networks.

Distinguishes between subgraphs and induced subgraphs in graph theory, illustrating the construction of minimal spanning trees.

Explores handling network data, including types of graphs, real-world network properties, and node importance measurement.

Explores automorphism groups in trees and graphs, focusing on ends and types of automorphisms.

Explores memory management, graph representation, and traversal algorithms in Python, emphasizing BFS and DFS.