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ICDM
2008
IEEE
168views Data Mining» more  ICDM 2008»
14 years 1 days ago
Measuring Proximity on Graphs with Side Information
This paper studies how to incorporate side information (such as users’ feedback) in measuring node proximity on large graphs. Our method (ProSIN) is motivated by the well-studie...
Hanghang Tong, Huiming Qu, Hani Jamjoom
ICML
2008
IEEE
14 years 6 months ago
Fast incremental proximity search in large graphs
In this paper we investigate two aspects of ranking problems on large graphs. First, we augment the deterministic pruning algorithm in Sarkar and Moore (2007) with sampling techni...
Purnamrita Sarkar, Andrew W. Moore, Amit Prakash
ICML
2003
IEEE
14 years 6 months ago
Marginalized Kernels Between Labeled Graphs
A new kernel function between two labeled graphs is presented. Feature vectors are defined as the counts of label paths produced by random walks on graphs. The kernel computation ...
Hisashi Kashima, Koji Tsuda, Akihiro Inokuchi
FOCS
2008
IEEE
14 years 1 days ago
Noise Tolerance of Expanders and Sublinear Expander Reconstruction
We consider the problem of online sublinear expander reconstruction and its relation to random walks in “noisy” expanders. Given access to an adjacency list representation of ...
Satyen Kale, Yuval Peres, C. Seshadhri
WWW
2004
ACM
14 years 6 months ago
The effect of the back button in a random walk: application for pagerank
Theoretical analysis of the Web graph is often used to improve the efficiency of search engines. The PageRank algorithm, proposed by [5], is used by the Google search engine [4] t...
Fabien Mathieu, Mohamed Bouklit