GeoDiff implements a score-based diffusion model for generating stable molecular 3D structures from 2D molecular graphs. It uses equivariant graph neural networks to learn score functions in the diffusion process, enabling unconditional generation of molecular conformations for drug discovery and computational chemistry applications.