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One Dimensional Random Walks

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-dimensional Fourier Transform

-dimensional Fourier Transform

see.stanford.edu

dimensional case and higher dimensions, we want to mimic the one-dimensional setting and arguments as much as possible. It is a measure of the naturalness of the fundamental concepts that the extension ... series for a later section that includes a really interesting application to random walks. How shall we define the Fourier transform? We ...

  Dimensional, Walk, Random, Transform, Fourier, Fourier transform, Random walk, Dimensional fourier transform

node2vec: Scalable Feature Learning for Networks

node2vec: Scalable Feature Learning for Networks

cs.stanford.edu

node2vec, we learn a mapping of nodes to a low-dimensional space of features that maximizes the likelihood of preserving network neighborhoods of nodes. We define a flexible notion of a node’s network neighborhood and design a biased random walk procedure, which efficiently explores diverse neighborhoods. Our algorithm

  Dimensional, Random, Node2vec

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