5 papers
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…