Hyperlink prediction via local random walks and Jensen-Shannon divergence

Xin-Jian Xu; Chong Deng; Li-Jie Zhang

doi:10.1088/1742-5468/acc31e

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arXiv · 2303.14996

Hyperlink prediction via local random walks and Jensen-Shannon divergence

Xin-Jian Xu·Chong Deng·Li-Jie Zhang

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Abstract

Many real-world systems involving higher-order interactions can be modeled by hypergraphs, where vertices represent the systemic units and hyperedges describe the interactions among them. In this paper, we focus on the problem of hyperlink prediction which aims at inferring missing hyperlinks based on observed hyperlinks. We propose three similarity indices for hyperlink prediction based on local random walks and Jensen-Shannon divergence. Numerical experiments show that the proposed indices outperform the state-of-the-art methods on a broad range of datasets.

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Xin-Jian Xu, Chong Deng, Li-Jie Zhang. 2023-03-27. Hyperlink prediction via local random walks and Jensen-Shannon divergence. https://doi.org/10.1088/1742-5468%2Facc31e

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