Citation Network

Citation networks, representing the relationships between scholarly publications through citations, are studied to understand the evolution of scientific knowledge and improve information retrieval. Current research focuses on developing sophisticated models, including graph neural networks and large language models, to perform tasks like link prediction, citation recommendation, and anomaly detection within these networks. These advancements enable more accurate analyses of scientific impact, identification of research trends, and improved tools for researchers, such as enhanced recommendation systems for collaborators and relevant literature. The insights gained contribute to a better understanding of scientific collaboration and knowledge dissemination.