...Hongkun Liu; Tingting Liang; Zimeng Li; Yuyu Yin; Zhou Li Purpose This paper aims to address several limitations of current graph neural network ( GNN )-based bundle recommender systems. These models often suffer from representation degradation as the number of aggregation layers increases...

... recommendation effectiveness by using correlations between Web services through graph neural networks (GNNs), while it has not fully leveraged service descriptions, limiting the depth and diversity of learning. To this end, a Web services recommendation method called LLMSARec, based on Large Language Model...

... User risk assessment Time series flow diagram Graph neural network Feature engineering Research Project of China Tobacco Zhejiang Industrial Co., Ltd ZJZY2022E005 Zhejiang Provincial Natural Science Foundation of China (Youth) LQ21F020019 In recent years, more and more...