PDF-Denser than the Densest Subgraph Extracting Optimal Qu

Tsourakakis Francesco Bonchi Aristides Gionis Francesco Gullo Maria A Tsiarli Carnegie Mellon University Yahoo Research Aalto University University of Pittsburgh Pittsburgh PA USA Barcelona Spain Espoo Finland Pittsbu rgh PA USA ABSTRACT Finding den. There is a signi64257cant gap between the best known upper and lower bounds for this problem It is NPhard and does not have a PTAS unless NP has subexponential time algorithms On the other hand the current best known algorithm of Feige Kortsarz and edu Ravi Kumar Yahoo Research Sunnyvale CA ravikumaryahooinccom Sergei Vassilvitskii Yahoo Research New York NY sergeiyahooinccom ABSTRACT The problem of nding locally dense components of a graph is an important primitive in data analysis with widera Liazi I Milis F Pascual and V Zissimopoulos Department of Informatics and Telecommunications University of Athens 157 84 Athens Greece mliazivassilis diuoagr Department of Informatics Athens University Economics and Business 104 34 Athens Greece Degree 10 0 10 1 10 2 10 3 10 4 10 5 10 0 10 2 10 4 10 6 Total Subgraph 1 Subgraph 2 Subgraph 3 Degree 10 0 10 1 10 2 10 3 10 4 10 5 Count of Degree 10 0 10 2 10 4 10 6 Total Subgraph 1 Subgraph 2 Sub Using the Ullman Algorithm for Graphical Matching. Iddo. . Aviram. OCR- a Brief Review. Optical character recognition. , usually abbreviated to . OCR. , is the mechanical or electronic translation of scanned images of handwritten, typewritten or printed text into machine-encoded text. 10 ].However,frequentlythedensestsubgraphprob-lemfailsindetectinglargenear-cliquesinnetworks.Inthiswork,weintroducethe-cliquedensestsubgraphproblem,2.Thisgeneralizesthewellstudieddens-estsubgraphprobl of Large Datasets. . Charalampos (Babis) E. Tsourakakis. Brown University. charalampos_tsourakakis@brown.edu. Brown University. . & Tilo . Wiedera. . Karsten . Klein. Uni Osnabrück, . Germany Uni Konstanz, . Germany. Maximal . Planar. . Subgraph. Algorithms. A Note on. t. he. . Practicality. . of. Problem . specification. Matching on Large Graphs in Cloud. Zhao Chang*, Lei . Zou. †, . Feifei. Li*. *University of Utah, USA . †. Peking University, China. Outline. Background. K-. Automorphism. Subgraph. Matching. Extracting Optimal Quasi-Cliques with Quality . Guarantees. . Charalampos (Babis) E. Tsourakakis. charalampos.tsourakakis@aalto.fi. KDD 2013. Keith Dalbey, Ph.D.. Sandia National Labs, Dept 1441, Optimization and Uncertainty Quantification. Michael Levy, Ph.D.. Sandia National Labs, Dept 1442, Numerical Analysis and Applications. Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy’s National Nuclear Security Administration under Contract DE-AC04-94AL85000.. Longin Jan Latecki. Based on :. P. . Dupont. , J. . Callut. , G. Dooms, J.-N. . Monette. and Y. Deville.. Relevant subgraph extraction from random walks in a graph. . RR 2006-07, Catholic University of Louvain , November 2006.. Subgraph. . with Perfect Completeness. Aviad Rubinstein (UC Berkeley). Mark . Braverman. , Young Kun . Ko. , and . Omri. Weinstein. A confession…. rest of workshop. this talk. vs . vs . SETH: SAT requires . Feb 20, 2009. Definition of subgroups . Definition of sub-groups: “Cohesive subgroups are subsets of actors among whom there are relatively strong, direct, intense, frequent or positive ties. It formalizes the strong social groups based on the social network properties ”.