graph neural network; message-passing mechanism; node classification MSC: 68T071. Introduction Graph neural networks (GNNs) have gained widespread recognition as strong tools for solving real-world problems in diverse domains. They have been successfully applied in recommendation systems [1,2,3,4],...
Afterwards, to learn the neighbor context encoding of the target node, we built a transformer-based context encoding (CET) module using a neighbor node category-level and a graph-level attention mechanism (Figure 1b) with detailed structures, as shown in Figure 2. In parallel, a capsule ...