most citedQuantifying discriminability of evaluation metrics in link prediction for real networks

2 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

physics.soc-ph2025

Predictability of Complex Systems

En Xu, Yilin Bi, Hongwei Hu +5

The study of complex systems has attracted widespread attention from researchers in the fields of natural sciences, social sciences, and engineering. Prediction is one of the centr…

stat.OT2025

Performances and Correlations of Centrality Measures in Complex Networks

Yilin Bi, Xinshan Jiao, Tao Zhou

Numerous centrality measures have been proposed to evaluate the importance of nodes in networks, yet comparative analyses of these measures remain limited. Based on 80 real-world n…

cs.SI2025

Hard negative sampling in hyperedge prediction

Zhenyu Deng, Tao Zhou, Yilin Bi

Hypergraph, which allows each hyperedge to encompass an arbitrary number of nodes, is a powerful tool for modeling multi-entity interactions. Hyperedge prediction is a fundamental…

physics.soc-ph2024

Beyond Pairwise Interactions: Unveiling the Role of Higher-Order Interactions via Stepwise Reduction

Junhap Bian, Tao Zhou, Yilin Bi

Complex systems, such as economic, social, biological, and ecological systems, usually feature interactions not only between pairwise entities but also among three or more entities…

cs.SI20242 cited

Quantifying discriminability of evaluation metrics in link prediction for real networks

Shuyan Wan, Yilin Bi, Xinshan Jiao +1

Link prediction is one of the most productive branches in network science, aiming to predict links that would have existed but have not yet been observed, or links that will appear…