There is a complex correlation among the data of scientific papers. The phenomenon reveals the data characteristics, laws, and correlations contained in the data of scientific and technological papers in specific fields, which can realize the analysis of scientific and technological big data and help to design applications to serve scientific researchers. Therefore, the research on mining and searching the association relationship of scientific papers based on deep learning has far-reaching practical significance.

翻译：科学论文数据之间有着复杂的相互关系,这一现象揭示了科技论文数据中特定领域的数据特点、法律和相关性,这些特点、法律和相关性可以对科技大数据进行分析,并有助于设计用于为科学研究人员服务的应用,因此,采矿研究和根据深层学习研究科学论文的联系关系具有深远的实际意义。