PPT-Neighborhood Based Fast Graph Search In Large Networks

Author : sherrill-nordquist | Published Date : 2016-09-06

Arijit Khan Nan Li Xifeng Yan Ziyu Guan Computer Science UC Santa Barbara arijitkhan nanli xyan ziyuguan csucsbedu Supriyo Chakraborty UC Los Angeles

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "Neighborhood Based Fast Graph Search In ..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

Neighborhood Based Fast Graph Search In Large Networks: Transcript

Arijit Khan Nan Li Xifeng Yan Ziyu Guan Computer Science UC Santa Barbara arijitkhan nanli xyan ziyuguan csucsbedu Supriyo Chakraborty UC Los Angeles. 10 11 Graph Search Methods Many graph problems solved using a search method Path from one vertex to another Is the graph connected Find a spanning tree Etc Commonly used search methods Breadthfirst search Depthfirst search BreadthFirst Search Visit Jimeng. Sun, . Huiming. . Qu. , . Deepayan. . Chakrabarti. & Christos . Faloutsos. Presented By. Bhavana. . Dalvi. Outline. Motivation. Problem Definition. Neighborhood formation. Anomaly detection. Learning to Sustain the General and the Particular. Meg Merrick, Ph.D., Institute of Portland Metropolitan Studies. A Balancing Act. Geography . 2 states. 7 counties. 25 cities. Unincorporated areas. Presented by: . Sarah Edwards. *. , Susan . Bondy. *. , Russell Callaghan. †,*. , Robert Mann. ‡,*. *. Dalla. Lana School of Public Health, University of Toronto. †. University of Northern British Columbia. A Presentation by Michael Serwetnyk, Anthony Soto, Matthew Scott, and Ryder Jacobson. Demographics. Population: 45, 850. Population Density: 19,656 people / sq. mile (compared to Chicago’s 11,970 people / sq. mile). Wednesday , October 21. st. , 2015. Neighborhood Association. Welcome to the Fall 2015 Neighborhood Forum. Reports from 2. nd. District, 3. rd. District and Police. BHNA Slate of Officers for 2015-2016. . . Department. . of . Social. welfare studies. , . Ghent . University. Youth Research Platform (JOP). . Annelore. Van der . Eecken. , . d. r. Lieve . Bradt. , . Prof. dr. Ilse . Borislav. . Nikoli. ć. , . Hazem. Ismail Abdel Aziz Ali, . Kostiantyn. . Berezovskyi. , Ricardo . Garibay. Martinez, Muhammad Ali . Awan. The Outline. Introduction. Heuristics. Local search. Metaheuristics. KDD, New York City. August 26, 2014. Manish . Purohit. ^. , . B. Aditya Prakash. *. , . Chanhyun. Kang. ^. , Yao Zhang. *. , V S . Subrahmanian. ^. . . *. Virginia Tech . ^. University of Maryland. CprE 381 Computer Organization and Assembly Level Programming, Fall 2013. Zhao Zhang. Iowa State University. Revised from original slides provided . by MKP. Chapter 5 — Large and Fast: Exploiting Memory Hierarchy — . in Rural Communities. Marcia Perritt, Project Manager. UNC-CH SOG Development Finance Initiative. North Carolina Affordable Housing Conference. Keeping Rural Communities on the Map with Affordable Housing. Arijit. Khan, Nan Li, . Xifeng. Yan, . Ziyu. Guan. Computer Science . UC Santa Barbara. {. arijitkhan. , . nanli. , . xyan. , . ziyuguan. }@. cs.ucsb.edu. . Supriyo. Chakraborty. UC Los Angeles. Lingxiao Ma. . †. , Zhi Yang. . †. , Youshan Miao. ‡. , Jilong Xue. ‡. , Ming Wu. ‡. , Lidong Zhou. ‡. , . Yafei. Dai. . †. †. . Peking University. ‡ . Microsoft Research. USENIX ATC ’19, Renton, WA, USA. William L. Hamilton, Rex Ying, Jure . Leskovec. Keshav Balasubramanian. Outline. Main goal: generating node embeddings. Survey of past methods. GCNs. GraphSAGE. Algorithm. Optimization and learning. Aggregators.

Download Document

Here is the link to download the presentation.
"Neighborhood Based Fast Graph Search In Large Networks"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.