Shandong Women's University, Jinan, Shandong 250014, China.
Comput Intell Neurosci. 2022 Jul 13;2022:1475069. doi: 10.1155/2022/1475069. eCollection 2022.
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.
为了向用户提供更加人性化和智能化的大数据知识服务，提出了一种基于图神经网络（GNN）算法的智能图书馆大数据智能信息检索研究方法。通过图神经网络（GNN）算法所代表的信息推荐的关键技术问题及解决方案，探索图书馆如何实现大数据知识服务的管理和价值挖掘。研究表明，基于图神经网络（GNN）算法的智能图书馆信息检索比之前的一般方法提高了 80%。图神经网络是一种更有优势的节点分类、链路预测、节点聚类或网络可视化算法，这对提高信息检索效率有很大帮助。
