Atomic Number Classification

The Atomic Number Classification task involves predicting the atomic numbers of nodes in molecular, material, or nanomaterial graphs. This task aims to accurately identify the elements corresponding to each node through graph-structured data, thereby providing critical information support for research in materials science and chemistry, facilitating the discovery and performance optimization of new substances.