TEG-DB

TEG-DB是一个综合性的文本边缘图数据集和基准，由上海大学创建。该数据集包含9个子数据集，涵盖图书推荐、电子商务、学术和社交网络等多个领域，数据规模从小到大不等。每个数据集不仅包含丰富的节点文本信息，还包含详细的边缘文本描述，旨在通过文本增强图分析的深度。创建过程中，数据集经过严格的预处理和图构建步骤，确保数据质量和图结构的合理性。TEG-DB的应用领域广泛，主要用于解决图结构数据中节点和边缘的文本信息利用问题，提升图分析的准确性和深度。

TEG-DB is a comprehensive text-edge graph dataset and benchmark developed by Shanghai University. It comprises 9 sub-datasets covering multiple domains including book recommendation, e-commerce, academic research, and social networks, with data scales ranging from small to large. Each dataset not only contains rich node textual information but also detailed edge textual descriptions, with the goal of enhancing the depth of graph analysis via textual information. During the dataset curation process, strict preprocessing and graph construction procedures have been applied to ensure data quality and the structural soundness of the graphs. TEG-DB has a wide range of application scenarios, and is primarily used to address the challenge of utilizing both node and edge textual information in graph-structured data, thereby improving the accuracy and depth of graph analysis.