Informal knowledge constantly transitions into formal domain knowledge in the dynamic
knowledge base. This article focuses on an integrative understanding of the knowledge role …

With the increasing development of information and scientific databases, scientific
collaboration has expanded in health sciences. This study aims to prioritize the criteria that …

There is empirical evidence that collaboration in academia has increased significantly
during the past few decades, perhaps due to the breathtaking advancements in …

Graph clustering is a powerful technique used to identify and group similar nodes within a
complex network structure. This procedure involves segmenting the graph into distinct …

This article presents a proposal for the recommendation of scientific collaborations for
researchers and research groups using the methodology for knowledge discovery in …

Scientific collaboration indicates active teamwork between researchers beyond the simple
exchange of material or information. This study is a systematic review of the papers …

In this paper, we first establish a locally converged bioinformatics dataset based on gradient
sampling and design an optimal data mining control model to improve the accuracy of …

Graph incremental learning have emerged as a powerful graph deep learning framework,
showcasing superior performance in address the evolving nature of graph data. However …