most citedSelf-supervised Representations and Node Embedding Graph Neural Networks for Accurate and Multi-scale Analysis of Materials

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cond-mat.mtrl-sci2022★ 2 cited

Self-supervised Representations and Node Embedding Graph Neural Networks for Accurate and Multi-scale Analysis of Materials

Jian-Gang Kong, Ke-Lin Zhao, Jian Li +5

Supervised machine learning algorithms, such as graph neural networks (GNN), have successfully predicted material properties. However, the superior performance of GNN usually relie…