Positional Encoder Graph Quantile Neural Networks for Geographic Data

William E. R. de Amorim, Scott A. Sisson, T. Rodrigues +2

Positional Encoder Graph Neural Networks (PE-GNNs) are among the most effective models for learning from continuous spatial data. However, their predictive distributions are often…