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 …

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 during …

Social recommendations leverage social networks to augment the performance of
recommender systems. However, the critical task of denoising social information has not …

Link prediction has become a critical problem in network science and has thus attracted
increasing research interest. Popularity and similarity are two primary mechanisms in the …

Link prediction in heterogeneous networks is an active research topic in the field of complex
network science. Recognizing the limitations of existing methods, which often overlook the …

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 …

CNN is a deep learning model that is effective in extracting features in text data. However,
CNN has shortcomings in understanding long-term context and lacks sensitivity to word …

Breast cancer classification is a crucial area of research in medical imaging, where accurate
diagnosis significantly impacts patient outcomes. This study investigates the effectiveness of …