SARC-GNN

This code package contains the core Python workflow for the Cu geochemical interpolation method described in the associated manuscript. The workflow combines a graph neural network trend model with source-attention residual interpolation to produce an anomaly-preserving Cu prediction surface. The package includes the main modeling script and environment configuration files.