POI-3DGCN: Predicting odor intensity of monomer flavors based on three-dimensionally embedded graph convolutional network

Qi Liu, Dehan Luo, Tengteng Wen, Hamid Gholamhosseini, Xiaofang Qiu, Jingshan Li. POI-3DGCN: Predicting odor intensity of monomer flavors based on three-dimensionally embedded graph convolutional network. Expert Syst. Appl., 199:116997, 2022. [doi]

@article{LiuLWGQL22,
  title = {POI-3DGCN: Predicting odor intensity of monomer flavors based on three-dimensionally embedded graph convolutional network},
  author = {Qi Liu and Dehan Luo and Tengteng Wen and Hamid Gholamhosseini and Xiaofang Qiu and Jingshan Li},
  year = {2022},
  doi = {10.1016/j.eswa.2022.116997},
  url = {https://doi.org/10.1016/j.eswa.2022.116997},
  researchr = {https://researchr.org/publication/LiuLWGQL22},
  cites = {0},
  citedby = {0},
  journal = {Expert Syst. Appl.},
  volume = {199},
  pages = {116997},
}