Position Regression

Position regression is a task that predicts the absolute three-dimensional positions of nodes in the graph structures of molecules, materials, or nanomaterials. This task aims to accurately infer the specific coordinates of each node in three-dimensional space using methods such as graph neural networks, thereby providing critical structural information support for fields like material design, drug discovery, and nanotechnology.