Intelligent Big Information Retrieval of Smart Library Based on Graph Neural Network (GNN) Algorithm

• Published in: Computational intelligence and neuroscience Vol. 2022; pp. 1 - 12
• Main Author: Pang, Lu
• Format: Journal Article
• Language: English
• Published: New York Hindawi 13.07.2022; John Wiley & Sons, Inc
• Subjects: Algorithms; Artificial intelligence; Big Data; Clustering; Communication; Computational linguistics; Deep learning; Distance learning; Explicit knowledge; Graph neural networks; Graphical representations; Information processing; Information retrieval; Information services; Information storage and retrieval; Language processing; Librarians; Libraries; Natural language interfaces; Network analysis; Neural networks; Reading; China
• ISSN: 1687-5265; 1687-5273; 1687-5273
• DOI: 10.1155/2022/1475069

In order to provide users with more humanized and intelligent big data knowledge services, a research method of intelligent big information retrieval of Smart Library Based on graph neural network (GNN) algorithm is proposed. Through the key technical problems and solutions of information recommendation represented by graph neural network (GNN) algorithm, this method explores how the library can realize the management and value mining of big data knowledge services. The research shows that the intelligent information retrieval of Smart Library Based on graph neural network (GNN) algorithm is 80% higher than the previous general methods. Graph neural network is a more advantageous algorithm for node classification, link prediction, node clustering, or network visualization, which is of great help to improve the efficiency of information retrieval.