Graph Sketching

Related lectures (29)

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Covers embedding graphs into trees with a focus on minimizing distortion and Bartal Tree embeddings.

Explores automorphisms of graphs, focusing on automorphism groups, Cayley-Abels graphs, and quasi-isometry.

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

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

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

Explores directed networks with asymmetric relationships and hypergraphs that generalize graphs by allowing edges to connect any subset of nodes.

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

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

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

Explores fundamental graph theory concepts, Erdős' results, Chromatic Lemma, and Union Bound theorem in graph theory.