PPT-BePI : Fast and Memory-Efficient Method for Billion-Scale Random Walk with Restart

May 17 BePI Fast and MemoryEfficient Method for BillionScale Random Walk with Restart 1 Jinhong Jung Namyong Park Lee Sael U Kang Outline Introduction Proposed Method Experiment Conclusion. cmuedu nikoscshkuhk haosucsstanfordedu ABSTRACT With the increasing popularity of social networks large volumes of graph data are becoming available Large graphs are also de rived by structure extraction from relational text or scienti64257c data eg cmuedu Christos Faloutsos Carnegie Mellon University christoscscmuedu JiaYu Pan Carnegie Mellon University jypancscmuedu Abstract How closely related are two nodes in a graph How to compute this score quickly on huge diskresident real graphs Random w Jacob Beal. IEEE SASO. September, 2013. Scale-free random walk .  good dispersion. Reactive Levy Walk [white] much better than. random walk, repulsive forces or p. ure reactive. Problem: Low-Information Dispersion. Presented by Changqing Li. Mathematics. Probability. Statistics. What. . is a Random Walk?. An Intuitive understanding. : . A series of movement which direction and size are randomly decided (e.g., . the Volume of Convex Bodies. By Group 7. The Problem Definition. The main result of the paper is a randomized algorithm for finding an approximation to the volume of a convex body . ĸ. in . n. -dimensional Euclidean space. FAWN. :. Workloads and Implications. Vijay . Vasudevan. , David Andersen, Michael . Kaminsky. *, Lawrence Tan, . Jason Franklin. , . Iulian. . Moraru. Carnegie Mellon University, *Intel Labs Pittsburgh. and Semi-Supervised Learning. Longin Jan Latecki. Based on :. Xiaojin. Zhu. Semi-Supervised Learning with Graphs. PhD thesis. CMU-LTI-05-192, May 2005. Page, Lawrence and . Brin. , Sergey and . Motwani. Sungsu. Lim. AALAB, KAIST. Image Segmentation. Computer vision. : make machine to see or to understand/ . interpret . the scenes (images & videos) like human do.. Image segmentation. is one of the most challenging issues in computer vision.. Martin Burtscher. Department of Computer Science. High-End CPUs and GPUs. Xeon X7550 Tesla C2050. Cores 8 (superscalar) 448 (simple). Active threads 2 per core 48 per core. Frequency 2 GHz 1.15 GHz. Draft slides. Background. Consider a social graph G=(V, E), where |V|= n and |E|= m . Girvan and Newman’s algorithm for community detection runs . in O(m. 2. n) time. , and . O(n. 2. ) space. .. The . A. pproach. for . R. andom Walk With Restart. on Large Graphs. Kijung Shin. . Jinhong. Jung Lee . Sael. U Kang. Introduction. How can we measure the relevance (or similarity) between two nodes in a graph?. A. pproach. for . R. andom Walk With Restart. on Large Graphs. Kijung Shin. . Jinhong. Jung Lee . Sael. U Kang. Introduction. How can we measure the relevance (or similarity) between two nodes in a graph?. Free Trade. Sustainable Trade. Avenue de Cortenbergh, 1721000 BrusselsBelgiuminfo@fta-intl.org+32-2-762 05 51The Foreign Trade Association (FTA) is the umbrella organisation of BEPI and the Business S Authors: . Kexiang. Wang, . Zhifang. Sui, et al.. Organization: Peking University. Speaker: . Kexiang. Wang. E-mail: wkx@pku.edu.cn. Outline. Overview of Our Paper. Aim. We propose the adjustable affinity-preserving random walk method for generic and query-focused multi-document summarization to enforce the .