融合全局信息和对比学习的图神经网络推荐模型
王彦乐,张瑞峰,李锵

Graph neural network recommendation model integrating global information and contrastive learning
Yanle WANG,Ruifeng ZHANG,Qiang LI
图 5 不同子图数量对推荐模型性能的影响
Fig.5 Effect of different number of subgraphs on recommendation model performance