'General graphs' presentation slideshows

An introduction to large sparse graphs

An introduction to large sparse graphs. Fan Chung Graham UC San Diego. Yahoo IM graph Reid Andersen 2005. edge. vertex. A graph G = ( V, E ). Vertices cities. Edges flights. Graph models. _____________________________. Vertices cities people.

1.07k views • 90 slides

Graph Problems in the Streaming Model

609 views • 47 slides

Network Querying Algorithms

Network Querying Algorithms. Roded Sharan Tel-Aviv University. Protein Interactions. Crucial to cell function. Measured by high-throughput technologies: yeast two-hybrid co-immunoprecipitation Systematic data available for several species. Network Querying Problem.

553 views • 46 slides

Network Querying Algorithms

Network Querying Algorithms. Roded Sharan Tel-Aviv University. Protein Interactions. Crucial to cell function. Measured by high-throughput technologies: yeast two-hybrid co-immunoprecipitation Systematic data available for several species. Network Querying Problem.

462 views • 46 slides

Approximate Inference Using Planar Graph Decomposition

Approximate Inference Using Planar Graph Decomposition. Amir Globerson and Tommi Jaakkola In Advances in Neural Information Processing Systems 19 , 2006 . Presented by Jonathan Huang at SELECT Lab, 12/12/06. The Ising Model. Let G=(V,E) be a graph

584 views • 38 slides

Collective Tree Spanners of Graphs

367 views • 23 slides

Online and Stochastic Survivable Network Design

Online and Stochastic Survivable Network Design. Ravishankar Krishnaswamy Carnegie Mellon University joint work with Anupam Gupta and R . Ravi. Online k-edge-connectivity (k-EC). Given a graph G, and edge costs .

302 views • 20 slides

The Maximum Independent Set Problem

The Maximum Independent Set Problem. Sarah Bleiler DIMACS REU 2005 Advisor: Dr. Vadim Lozin, RUTCOR. Definitions. Graph (G) : a network of vertices (V(G)) and edges (E(G)).

999 views • 16 slides