Difference between revisions of "Fast and scalable algorithms for semi-supervised link prediction on static and dynamic graphs"

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(Created page with '== Citation == @article{raymond2010fast, title={Fast and scalable algorithms for semi-supervised link prediction on static and dynamic graphs}, author={Raymond, R. and Kashi…')
 
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== Citation ==
 
== Citation ==
  
@article{raymond2010fast,
 
 
   title={Fast and scalable algorithms for semi-supervised link prediction on static and dynamic graphs},
 
   title={Fast and scalable algorithms for semi-supervised link prediction on static and dynamic graphs},
 
   author={Raymond, R. and Kashima, H.},
 
   author={Raymond, R. and Kashima, H.},
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   year={2010},
 
   year={2010},
 
   publisher={Springer}
 
   publisher={Springer}
}
+
 
 
== Online version ==
 
== Online version ==
  
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== Summary ==
 
== Summary ==
  
This paper addresses the problem of [AddressesProblem::Link  Prediction]], i.e. the completion of missing links between nodes in a Graph; essentially, this paper is a followup/extension of a previous work done by a subset the authors ( [[Link_propagation:_A_fast_semi-supervised_learning_algorithm_for_link_prediction Link_propagation:_A_fast_semi-supervised_learning_algorithm_for_link_prediction])  in which this  
+
This paper addresses the problem of [AddressesProblem::Link  Prediction]], i.e. the completion of missing links between nodes in a Graph; essentially, this paper is a followup/extension of a previous work done by a subset the authors ( [Link_propagation:_A_fast_semi-supervised_learning_algorithm_for_link_prediction])  in which this  
 
"Link Propagation" is introduced as one solution to that problem.
 
"Link Propagation" is introduced as one solution to that problem.

Revision as of 23:52, 4 November 2012

Citation

 title={Fast and scalable algorithms for semi-supervised link prediction on static and dynamic graphs},
 author={Raymond, R. and Kashima, H.},
 journal={Machine Learning and Knowledge Discovery in Databases},
 pages={131--147},
 year={2010},
 publisher={Springer}

Online version

Fast and scalable algorithms for semi-supervised link prediction on static and dynamic graphs

Summary

This paper addresses the problem of [AddressesProblem::Link Prediction]], i.e. the completion of missing links between nodes in a Graph; essentially, this paper is a followup/extension of a previous work done by a subset the authors ( [Link_propagation:_A_fast_semi-supervised_learning_algorithm_for_link_prediction]) in which this "Link Propagation" is introduced as one solution to that problem.