Lectures related to Multigraph

Introduces graph sketching, generalizations like multigraphs, and weighted graphs.

Explores statistical analysis of network data, covering noisy sampled networks, likelihood estimation, multilayer networks, and directed networks.

Covers the basics of graph algorithms, focusing on modeling and representation of graphs in memory.

Covers graph algorithms, modeling relationships between objects, and traversal techniques like BFS and DFS.