Attention-based graph neural networks: a survey

ArXi:2605.08679v1 Announce Type: cross Graph neural networks (GNNs) aim to learn well-trained representations in a lower-dimension space for downstream tasks while preserving the topological structures. In recent years, attention mechanism, which is brilliant in the fields of natural language processing and computer vision, is