Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective
Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective
In recent years, Graph Neural Networks (GNNs) have shown superior performance on diverse real-world applications. To improve the model capacity, besides designing aggregation operations, GNN topology design is also very important. In general, there are two mainstream GNN topology design manners. The first one is to stack aggregation operations to …