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Random Walks in Hypergraph
2021
International Journal of Education and Information Technologies
Random walks on graphs have been extensively used for a variety of graph-based problems such as ranking vertices, predicting links, recommendations, and clustering. However, many complex problems mandate a high-order graph representation to accurately capture the relationship structure inherent in them. Hypergraphs are particularly useful for such models due to the density of information stored in their structure. In this paper, we propose a novel extension to defining random walks on
doi:10.46300/9109.2021.15.2
fatcat:dczbocmggfeh5dt3lvx4wsnf6m