… on graph data is Random Walk with Restart (RWR) since it provides a good metric for
measuring the proximity of two nodes in a graph. Although RWR is important, it is challenging to …

… Here, we propose a multi-omics data integration algorithm based on random walk with restart
(RWR) on multiplex network. We call the resulting methodology Random Walk with Restart …

… We consider a particle performing a random walk in continuous time. The particle starts the
motion from an initial position x0 jumping instantaneously to a new position where it waits for …

… We study random walks with stochastic resetting to the initial position on arbitrary networks.
We obtain the stationary probability distribution as well as the mean and global first passage …

… the nonequilibrium steady states emerging from restart, and what is the optimal time to restart
[7–35]? As the counterpart of classical random walks, quantum walks are widely applied in …

… This is an exactly solvable example of a weakly correlated time-series that interpolates
between a strongly correlated random walk series (for r = 0) and an uncorrelated time-series (for (…

… Furthermore, according to Algorithm 1, to sample the start node for a second-order random
walk (ie, \(t=0\)), we need to sample it from the n2e distribution, then the alias method also …

… a random walk from the start vertex s of length k−1 ends at accept vertex t. Generating such
a truly random walk takes k − 1 random … a walk of length k − 1 using a much shorter random …

… of the quantum walk is presented in this review article along with their application areas and
… study of classical random walk and quantum walk based on their application domain and …

… survey of different types of random walk models with local and non-… random walk dynamics
like the normal random walk, biased random walks and preferential navigation, random walks …