ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs

Limei Wang, Yi Liu, Yuchao Lin, Haoran Liu, Shuiwang Ji. ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs. In Sanmi Koyejo, S. Mohamed, A. Agarwal, Danielle Belgrave, K. Cho, A. Oh, editors, Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022. 2022. [doi]

@inproceedings{WangLLLJ22-0,
  title = {ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs},
  author = {Limei Wang and Yi Liu and Yuchao Lin and Haoran Liu and Shuiwang Ji},
  year = {2022},
  url = {http://papers.nips.cc/paper_files/paper/2022/hash/0418973e545b932939302cb605d06f43-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/WangLLLJ22-0},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022},
  editor = {Sanmi Koyejo and S. Mohamed and A. Agarwal and Danielle Belgrave and K. Cho and A. Oh},
  isbn = {9781713871088},
}