DeepMAT: Predicting Metabolic Pathways of Compounds Using a Message Passing and Attention-Based Neural Networks

Hayat Ali Shah, Juan Liu 0007, Zhihui Yang, Jing Feng. DeepMAT: Predicting Metabolic Pathways of Compounds Using a Message Passing and Attention-Based Neural Networks. In De-Shuang Huang, Prashan Premaratne, Baohua Jin, Boyang Qu, Kang-Hyun Jo, Abir Hussain, editors, Advanced Intelligent Computing Technology and Applications - 19th International Conference, ICIC 2023, Zhengzhou, China, August 10-13, 2023, Proceedings, Part III. Volume 14088 of Lecture Notes in Computer Science, pages 428-446, Springer, 2023. [doi]

@inproceedings{ShahLYF23,
  title = {DeepMAT: Predicting Metabolic Pathways of Compounds Using a Message Passing and Attention-Based Neural Networks},
  author = {Hayat Ali Shah and Juan Liu 0007 and Zhihui Yang and Jing Feng},
  year = {2023},
  doi = {10.1007/978-981-99-4749-2_37},
  url = {https://doi.org/10.1007/978-981-99-4749-2_37},
  researchr = {https://researchr.org/publication/ShahLYF23},
  cites = {0},
  citedby = {0},
  pages = {428-446},
  booktitle = {Advanced Intelligent Computing Technology and Applications - 19th International Conference, ICIC 2023, Zhengzhou, China, August 10-13, 2023, Proceedings, Part III},
  editor = {De-Shuang Huang and Prashan Premaratne and Baohua Jin and Boyang Qu and Kang-Hyun Jo and Abir Hussain},
  volume = {14088},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-981-99-4749-2},
}