Lectures related to Graph Algorithms: DFS, Topological Sort, SCC

Explores graph algorithms like BFS and DFS, discussing shortest paths, spanning trees, and data structures' role.

Covers graph processing with a focus on Oracle Labs PGX, discussing graph analytics, databases, algorithms, and distributed analytics challenges.

Introduces network data structures, models, and analysis techniques, emphasizing permutation invariance and Erdős-Rényi networks.

Covers flow networks, focusing on flows, cuts, and their applications in algorithms.

Covers the concept of maximum flow-minimum cut in directed graphs with capacity constraints.

Explores community detection in graphs using modularity and edge betweenness.

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