CrysGNN : Distilling pre-trained knowledge to enhance property prediction for crystalline materials

Kishalay Das, Bidisha Samanta, Pawan Goyal +3

In recent years, graph neural network (GNN) based approaches have emerged as a powerful technique to encode complex topological structure of crystal materials in an enriched repres…