HGPTrans
Official PyTorch implementation of HGPTrans: hierarchical graph-pooling Transolver for vehicle aerodynamic drag prediction (Cd regression) from STL meshes.
- graph-neural-networks
- pytorch
- transfer-learning
- transformer
- automotive
- Stars
- 79
- Forks
- 0
- + today
- +1
- Created
- 13d
Ranking data as of October 5, 2026 (UTC).
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Overview
Official PyTorch implementation of HGPTrans: hierarchical graph-pooling Transolver for vehicle aerodynamic drag prediction (Cd regression) from STL meshes. It ranks #1158 on GitTiger, gaining +1 star on October 5, 2026 (UTC).
The project is written in Python. It was created 13d ago.
Installation
git clone https://github.com/BoLiu-USTC/HGPTrans.git
cd HGPTrans
# see README for setup