2025
Geometry-Aware Edge Pooling for Graph Neural Networks
NeurIPS 2025poster
Graph Neural Networks (GNNs) have shown significant success for graph-based tasks. Motivated by the prevalence of large datasets in real-world applications, pooling layers are crucial components of GNNs. By reducing the size of input graphs, pooling enables faster training and potentially better ge…