54 citations · 54 across the 2 of their papers we have counts for
2 papers
cs.LG2023
RELIANT: Fair Knowledge Distillation for Graph Neural Networks
Yushun Dong, Binchi Zhang, Yiling Yuan +3
Graph Neural Networks (GNNs) have shown satisfying performance on various graph learning tasks. To achieve better fitting capability, most GNNs are with a large number of parameter…
cond-mat.mtrl-sci2021★ 54 cited
Inverse design of glass structure with deep graph neural networks
Qi Wang, Longfei Zhang
Directly manipulating the atomic structure to achieve a specific property is a long pursuit in the field of materials. However, hindered by the disordered, non-prototypical glass s…