most citedA new perspective on building efficient and expressive 3D equivariant graph neural networks

9 citations · 10 across the 3 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2023★ 9 cited

A new perspective on building efficient and expressive 3D equivariant graph neural networks

Weitao Du, Yuanqi Du, Limei Wang +5

Geometric deep learning enables the encoding of physical symmetries in modeling 3D objects. Despite rapid progress in encoding 3D symmetries into Graph Neural Networks (GNNs), a co…

cs.LG2022

TCFimt: Temporal Counterfactual Forecasting from Individual Multiple Treatment Perspective

Pengfei Xi, Guifeng Wang, Zhipeng Hu +8

Determining causal effects of temporal multi-intervention assists decision-making. Restricted by time-varying bias, selection bias, and interactions of multiple interventions, the…