109 citations · 290 across the 10 of their papers we have counts for
11 papers
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…
Identifying discreditable firms in a large-scale ownership network
Tao Zhou, Yan-Li Lee, Qian Li +4
Violations of laws and regulations about food safety, production safety, quality standard and environmental protection, or negative consequences from loan, guarantee and pledge con…
Personalized recommendation system based on social relationships and historical behaviors
Yan-Li Lee, Tao Zhou, Kexin Yang +2
Previous studies show that recommendation algorithms based on historical behaviors of users can provide satisfactory recommendation performance. Many of these algorithms pay attent…
The Gender Pay Gap in China: Insights from a Discrimination Perspective
Wei Bai, Yan-Li Lee, Jingyi Liao +3
Equal pay is an essential component of gender equality, one of the Sustainable Development Goals of the United Nations. Using resume data of over ten million Chinese online job see…
Collaborative Filtering Approach to Link Prediction
Yan-Li Lee, Tao Zhou
Link prediction is a fundamental challenge in network science. Among various methods, local similarity indices are widely used for their high cost-performance. However, the perform…
Link Prediction via controlling the leading eigenvector
Yan-Li Lee, Qiang Dong, Tao Zhou
Link prediction is a fundamental challenge in network science. Among various methods, similarity-based algorithms are popular for their simplicity, interpretability, high efficienc…
Experimental analyses on 2-hop-based and 3-hop-based link prediction algorithms
Tao Zhou, Yan-Li Lee, Guannan Wang
Link prediction is a significant and challenging task in network science. The majority of known methods are similarity-based, which assign similarity indices for node pairs and ass…
Hierarchical Clustering Supported by Reciprocal Nearest Neighbors
Wen-Bo Xie, Yan-Li Lee, Cong Wang +2
Clustering is a fundamental analysis tool aiming at classifying data points into groups based on their similarity or distance. It has found successful applications in all natural a…
Link prediction via linear optimization
Ratha Pech, Dong Hao, Yan-Li Lee +2
Link prediction is an elemental challenge in network science, which has already found applications in guiding laboratorial experiments, digging out drug targets, recommending frien…
Fast asynchronous updating algorithms for k-shell indices
Yan-Li Lee, Tao Zhou
Identifying influential nodes in networks is a significant and challenging task. Among many centrality indices, the -shell index performs very well in finding out influential sp…