Molormer: a lightweight self-attention-based method focused on spatial structure of molecular graph for drug-drug interactions prediction

Xudong Zhang, Gan Wang, Xiangyu Meng 0005, Shuang Wang, Ying Zhang, Alfonso Rodríguez-Patón, Jianmin Wang, Xun Wang. Molormer: a lightweight self-attention-based method focused on spatial structure of molecular graph for drug-drug interactions prediction. Briefings in Bioinformatics, 23(5), 2022. [doi]

@article{ZhangWMWZRWW22,
  title = {Molormer: a lightweight self-attention-based method focused on spatial structure of molecular graph for drug-drug interactions prediction},
  author = {Xudong Zhang and Gan Wang and Xiangyu Meng 0005 and Shuang Wang and Ying Zhang and Alfonso Rodríguez-Patón and Jianmin Wang and Xun Wang},
  year = {2022},
  doi = {10.1093/bib/bbac296},
  url = {https://doi.org/10.1093/bib/bbac296},
  researchr = {https://researchr.org/publication/ZhangWMWZRWW22},
  cites = {0},
  citedby = {0},
  journal = {Briefings in Bioinformatics},
  volume = {23},
  number = {5},
}