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IM
2007
13 years 6 months ago
Approximating Personalized PageRank with Minimal Use of Web Graph Data
Abstract. In this paper, we consider the problem of calculating fast and accurate approximations to the personalized PageRank score of a webpage. We focus on techniques to improve ...
David Gleich, Marzia Polito
ICDM
2006
IEEE
115views Data Mining» more  ICDM 2006»
14 years 12 days ago
Concept-Aware Ranking: Teaching an Old Graph New Moves
Colin DeLong, Sandeep Mane, Jaideep Srivastava
KDD
2010
ACM
271views Data Mining» more  KDD 2010»
13 years 4 months ago
Parallel SimRank computation on large graphs with iterative aggregation
Guoming He, Haijun Feng, Cuiping Li, Hong Chen
WSDM
2009
ACM
125views Data Mining» more  WSDM 2009»
14 years 1 months ago
Less is more: sampling the neighborhood graph makes SALSA better and faster
In this paper, we attempt to improve the effectiveness and the efficiency of query-dependent link-based ranking algorithms such as HITS, MAX and SALSA. All these ranking algorith...
Marc Najork, Sreenivas Gollapudi, Rina Panigrahy
WAW
2010
Springer
306views Algorithms» more  WAW 2010»
13 years 4 months ago
Finding and Visualizing Graph Clusters Using PageRank Optimization
We give algorithms for finding graph clusters and drawing graphs, highlighting local community structure within the context of a larger network. For a given graph G, we use the per...
Fan Chung Graham, Alexander Tsiatas