Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs

Rui Jiao, Jiaqi Han, Wenbing Huang 0001, Yu Rong, Yang Liu 0005. Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs. In Brian Williams 0001, Yiling Chen 0001, Jennifer Neville, editors, Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023. pages 8096-8104, AAAI Press, 2023. [doi]

@inproceedings{JiaoH0R023,
  title = {Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs},
  author = {Rui Jiao and Jiaqi Han and Wenbing Huang 0001 and Yu Rong and Yang Liu 0005},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25978},
  researchr = {https://researchr.org/publication/JiaoH0R023},
  cites = {0},
  citedby = {0},
  pages = {8096-8104},
  booktitle = {Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023},
  editor = {Brian Williams 0001 and Yiling Chen 0001 and Jennifer Neville},
  publisher = {AAAI Press},
  isbn = {978-1-57735-880-0},
}