PPT-Graph Guessing

G ames amp nonShannon Information I nequalities First workshop on Entropy and Information Inequalities 17 April 2013 Søren Riis Queen Mary University of London Overview Digraph Guessing Games. We call the tail of the head of and uv the ends of If there is an edge with tail and head then we let uv denote such an edge and we say that this edge is directed from to Loops Parallel Edges and Simple Digraphs An edge uv in a digraph is a Tengyu. Ma. Xiaoming. Sun. Huacheng. Yu. Institute for Interdisciplinary Information Sciences Tsinghua University. Institute for Advanced Study, Tsinghua University . Institute for Interdisciplinary Information Sciences. Lindsay Mullen. (Abstract) Algebra and Number Theory. Combinatorics. (Discrete Mathematics). Graph Theory. Graph Coloring. What is Graph Theory?. Branch . of . mathematics . concerned with networks of points connected by . Based on. http://www.cs.engr.uky.edu/~. lewis/cs-heuristic/text/integer/linprog.html. The . bipartite graph matching problem.  is to find a set of unconnected edges which cover as many of the vertices as possible. If we select the set of edges. Wei Wang. Department of Computer Science. Scalable Analytics Institute. UCLA. weiwang@cs.ucla.edu. Graphs/Networks. FFSM (ICDM03), SPIN (KDD04),. GDIndex. (ICDE07). MotifMining. (PSB04, RECOMB04, ProteinScience06, SSDBM07, BIBM08). Hamid. . Alaei. (Vertex) Coloring of a graph . G = (V,E) . is a map function . c. . : V → C. C. : set of colors. for every edge . vw. ∈ E: c(v) ≠ c(w). .. chromatic number . χ(G). is the minimal number of colors needed in a coloring of . Arijit Khan, . Yinghui. Wu, Xifeng Yan. Department of Computer Science. University of California, Santa Barbara. {. arijitkhan. , . yinghui. , . xyan. }@. cs.ucsb.edu. Graph Data. 2. Graphs are everywhere.. . social . and neural network data. Darren A. Narayan. Rochester Institute of Technology. Joint work with Roger Vargas, Williams College, Bradford Mahon and Frank Garcea, Rochester Center for Brain Imaging, University of Rochester. Get Involved. Conveying. Questions. What Questions. to Ask. Characters, Actions, etc.. Both for guesser. and conveyer. GAMES. 3 Things. Blind Date. Chain Murder Mystery. Dating Game. Group Therapy. Using graph theory to solve games and problems. Dr. Carrie Wright. University of Arizona. Teacher’s Circle. November 17, 2011. BRIDGES OF KONIGSBERG. In Konigsberg, East Prussia, a river runs through the city such that in its center is an island, and after passing the island, the river broke into two parts. Seven bridges were built so that the people of the city could get from one part to another. . ISQS3358, Spring 2016. Graph Database. A . graph database is a database that uses graph structures for semantic queries with nodes, edges and properties to represent and store data. .. Graph databases employ nodes, properties, and edges.. 1. GrowingKnowing.com © 2011. Binomial probabilities. Your choice is between success and failure. You toss a coin and want it to come up tails. Tails is success, heads is failure. Although you have only 2 conditions: success or failure, it does not mean you are restricted to 2 events. and Applications. Irith Hartman. 1. Motivation. What is the common link between the following problems: traffic network design and cancer research?. Arranging marriages and scheduling flights?. Finding cure for mental illness, computer chip design, architectural floor planning, fighting terror online?. Distance matrices are graphs .  as useful as any other clustering. Identification of communities in social networks. Webpage clustering for better data management of web data. Outline. Min s-t cut problem.