9 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…
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…
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…
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…