ChiENN: Embracing Molecular Chirality with Graph Neural Networks

Gainski et al. "ChiENN: Embracing Molecular Chirality with Graph Neural Networks." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023. doi:10.1007/978-3-031-43418-1_3

[Gainski et al. "ChiENN: Embracing Molecular Chirality with Graph Neural Networks." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023.](https://mlanthology.org/ecmlpkdd/2023/gainski2023ecmlpkdd-chienn/) doi:10.1007/978-3-031-43418-1_3

@inproceedings{gainski2023ecmlpkdd-chienn,
  title     = {{ChiENN: Embracing Molecular Chirality with Graph Neural Networks}},
  author    = {Gainski, Piotr and Koziarski, Michal and Tabor, Jacek and Smieja, Marek},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2023},
  pages     = {36-52},
  doi       = {10.1007/978-3-031-43418-1_3},
  url       = {https://mlanthology.org/ecmlpkdd/2023/gainski2023ecmlpkdd-chienn/}
}