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» Learning to rank on graphs
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IM
2007
14 years 9 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
SIGMOD
2009
ACM
111views Database» more  SIGMOD 2009»
15 years 10 months ago
Language-model-based ranking in entity-relation graphs
We propose a language-model-based ranking approach for SPARQLlike queries on entity-relationship graphs. Our ranking model supports exact matching, approximate structure matching,...
Shady Elbassuoni, Maya Ramanath, Gerhard Weikum
IM
2007
14 years 9 months ago
Using PageRank to Locally Partition a Graph
A local graph partitioning algorithm finds a cut near a specified starting vertex, with a running time that depends largely on the size of the small side of the cut, rather than...
Reid Andersen, Fan R. K. Chung, Kevin J. Lang
PPAM
2005
Springer
15 years 3 months ago
Parallel Query Processing and Edge Ranking of Graphs
Abstract. In this paper we deal with the problem of finding an optimal query execution plan in database systems. We improve the analysis of a polynomial-time approximation algorit...
Dariusz Dereniowski, Marek Kubale
FUIN
2006
139views more  FUIN 2006»
14 years 9 months ago
Efficient Parallel Query Processing by Graph Ranking
In this paper we deal with the problem of finding an optimal query execution plan in database systems. We improve the analysis of a polynomial-time approximation algorithm due to M...
Dariusz Dereniowski, Marek Kubale