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» Learning random walks to rank nodes in graphs
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ICML
2010
IEEE
13 years 8 months ago
Random Spanning Trees and the Prediction of Weighted Graphs
We show that the mistake bound for predicting the nodes of an arbitrary weighted graph is characterized (up to logarithmic factors) by the cutsize of a random spanning tree of the...
Nicolò Cesa-Bianchi, Claudio Gentile, Fabio...
COCOON
2008
Springer
13 years 9 months ago
The Computational Complexity of Link Building
We study the problem of adding k new links to a directed graph G(V, E) in order to maximize the minimum PageRank value for a given subset of the nodes. We show that this problem is...
Martin Olsen
CIKM
2008
Springer
13 years 9 months ago
Dr. Searcher and Mr. Browser: a unified hyperlink-click graph
We introduce a unified graph representation of the Web, which includes both structural and usage information. We model this graph using a simple union of the Web's hyperlink ...
Barbara Poblete, Carlos Castillo, Aristides Gionis
CCR
2004
89views more  CCR 2004»
13 years 7 months ago
Should we build Gnutella on a structured overlay?
There has been much interest in both unstructured and structured overlays recently. Unstructured overlays, like Gnutella, build a random graph and use flooding or random walks on ...
Miguel Castro, Manuel Costa, Antony I. T. Rowstron
EDBT
2009
ACM
208views Database» more  EDBT 2009»
14 years 2 months ago
Flexible and efficient querying and ranking on hyperlinked data sources
There has been an explosion of hyperlinked data in many domains, e.g., the biological Web. Expressive query languages and effective ranking techniques are required to convert this...
Ramakrishna Varadarajan, Vagelis Hristidis, Louiqa...