Half-Hop: A graph upsampling approach for slowing down message passing
Half-Hop is a simple method to improve message passing neural networks by slowing down communication between nodes. It achieves this by adding 'slow nodes' along existing edges, which modifies the graph structure. This approach reduces over-smoothing and significantly improves performance on complex graphs, especially those with different node labels.