9 citations · 12 across the 11 of their papers we have counts for
11 papers
Rethinking Sampling Strategy in Link Prediction
Yilin Bi, Zhenyu Deng, Xinshan Jiao +1
Many real-world networks are incomplete, making link prediction a fundamental challenge in network science. To train parameters and evaluate algorithms, observed links are usually…
Hypergraph Mining via Proximity Matrix
Junhao Bian, Yilin Bi, Tao Zhou
Hypergraphs serve as an effective tool widely adopted to characterize higher-order interactions in complex systems. The most intuitive and commonly used mathematical instrument for…
Domain matters: Towards domain-informed evaluation for link prediction
Yilin Bi, Junhao Bian, Shuyan Wan +2
Link prediction, a foundational task in complex network analysis, has extensive applications in critical scenarios such as social recommendation, drug target discovery, and knowled…
Impacts of Data Splitting Strategies on Parameterized Link Prediction Algorithms
Xinshan Jiao, Yuxin Luo, Yilin Bi +1
Link prediction is a fundamental problem in network science, aiming to infer potential or missing links based on observed network structures. With the increasing adoption of parame…
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…
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…
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…
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…
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…
Inconsistency of evaluation metrics in link prediction
Yilin Bi, Xinshan Jiao, Yan-Li Lee +1
Link prediction is a paradigmatic and challenging problem in network science, which aims to predict missing links, future links and temporal links based on known topology. Along wi…
Comparing discriminating abilities of evaluation metrics in link prediction
Xinshan Jiao, Shuyan Wan, Qian Liu +5
Link prediction aims to predict the potential existence of links between two unconnected nodes within a network based on the known topological characteristics. Evaluation metrics a…