Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery

Liu et al. "Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery." AAAI Conference on Artificial Intelligence, 2023. doi:10.1609/AAAI.V37I12.26679

[Liu et al. "Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery." AAAI Conference on Artificial Intelligence, 2023.](https://mlanthology.org/aaai/2023/liu2023aaai-interpretable/) doi:10.1609/AAAI.V37I12.26679

@inproceedings{liu2023aaai-interpretable,
  title     = {{Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery}},
  author    = {Liu, Yunchao and Wang, Yu and Vu, Oanh and Moretti, Rocco and Bodenheimer, Bobby and Meiler, Jens and Derr, Tyler},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2023},
  pages     = {14356-14364},
  doi       = {10.1609/AAAI.V37I12.26679},
  url       = {https://mlanthology.org/aaai/2023/liu2023aaai-interpretable/}
}