… constructed through the edgeaware module for the optimization of the overall model.
Finally,the Leaky ReLU function is used to replace the ReLU function in the network,improving the …

… 模型NRGCN(neighbor relation-aware graph convolutional network).该… neighboraware
graph attention network for recommendation)[22] 和NIA-GCN(neighbor interaction aware graph …

… of recommendation systems based on the knowledge graph. [… of recommendation algorithms
based on knowledge graphs. Then, we sorted the development history of recommendation …

… neighbors. Based … graph convolution recommendation model which combine neighbor
importance sampling and feature cross pooling. The sampling method based on …

… the cold start problem of traditional recommendation models. But when extracting structured
… of public neighbors; Secondly, it uses graph convolutional neural networks to integrate the …

… recommendation model that combines knowledge graph and … Firstly, the KGCN (knowledge
graph convolutional networks … vector of the item through neighborhood aggregation unit. The …

… graph convolutional network incorporating knowledge graph for explainable recommendation,…
的邻域交 互模型(knowledge-enhanced neighborhood interaction, KNI).该模型将用户-项目…

… interactive information and the multiple feature. A heterogeneous graph convolutional neural
network was … a recommendation link with strong interpretability, which greatly improved the …

… ,BERT)模型和图卷积神经网络(Graph convolutional network,GCN)模 型对特征提取并融合;最后…
: Graph convolutional networks with neighbor complex interactions for recommendation[C]//…