D08-1061 ° nt „ , continue the random walk to a neighbor of v. 2 . With
D09-1067 finds the partition where the random walks are most likely to happen within
C04-1173 task . This is done to allow the random walk to really go into the larger
D08-1061 estimate LQ for q , we perform a random walk on Gr starting from q to generate
D09-1091 interpreted as edge flows in Markov random walk over graph vertices ( documents
C92-1021 update procedure is a Monte Carlo random walk . 4 . the synaptic coefficients
C04-1173 good value for the length of the random walk through the graph is not a simple
D08-1061 Wang and Cohen ( 2007 ) use a random walk on a graph built from entities
D08-1061 probability p n „ , stop the random walk and emit a label L from I „
D09-1025 ES-all with a state-of-the-art random walk system ( RW ) presented by Talukdar
D09-1025 tables . The Ranker uses graph random walks to combine the information of
D08-1061 probability p bnd „ , abandon the random walk . This abandonment probability
D08-1061 Labeled Class Instances using Graph Random Walks </title> Pratim Ravichandran
D08-1096 small number of iterations of the random walk , similar to our findings . 8
D08-1114 algorithms that performs Markov random walks on the graph and has a straightforward
D08-1061 has high-degree nodes . When the random walk passes through such a node ,
D09-1067 and it can be justified from the random walk view , which has a clear probabilistic
D08-1061 abandonment probability makes the random walk stay relatively close to its
D08-1032 ranked the sentences according to a random walk model defined in terms of both
D08-1079 proposes the Conditional Markov Random Walk Model based on two-layer web
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