Article

Accurately modeling biased random walks on weighted networks using <i>node2vec+</i>

2022-08-15

Abstract excerpt

<h4>Motivation</h4> Accurately representing biological networks in a low-dimensional space, also known as network embedding, is a critical step in network-based machine learning and is carried out widely using node2vec , an unsupervised method based on biased random walks. However, while many networks, including functional gene interaction networks, are dense, weighted graphs, node2vec is fundamentally limited i...

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Literature Corpus work: af8484a7-aad3-5e7a-bb50-a7706bb9c4a2
DOI: 10.1101/2022.08.14.503926

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