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» Learning to rank on graphs
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WWW
2008
ACM
16 years 7 months ago
Measuring extremal dependencies in web graphs
We analyze dependencies in power law graph data (Web sample, Wikipedia sample and a preferential attachment graph) using statistical inference for multivariate regular variation. ...
Yana Volkovich, Nelly Litvak, Bert Zwart
IJCAI
2007
15 years 7 months ago
Graph-Based Semi-Supervised Learning as a Generative Model
This paper proposes and develops a new graph-based semi-supervised learning method. Different from previous graph-based methods that are based on discriminative models, our method...
Jingrui He, Jaime G. Carbonell, Yan Liu 0002
WWW
2003
ACM
16 years 7 months ago
Adaptive ranking of web pages
In this paper, we consider the possibility of altering the PageRank of web pages, from an administrator's point of view, through the modification of the PageRank equation. It...
Ah Chung Tsoi, Gianni Morini, Franco Scarselli, Ma...
MLG
2007
Springer
16 years 17 days ago
Speeding Up Graph Edit Distance Computation with a Bipartite Heuristic
d Abstract) Kaspar Riesen, Stefan Fankhauser and Horst Bunke2
Kaspar Riesen, Stefan Fankhauser, Horst Bunke
KDD
2003
ACM
217views Data Mining» more  KDD 2003»
16 years 6 months ago
Algorithms for estimating relative importance in networks
Large and complex graphs representing relationships among sets of entities are an increasingly common focus of interest in data analysis--examples include social networks, Web gra...
Scott White, Padhraic Smyth