Modeling Diverse Chemical Reactions for Single-step Retrosynthesis via Discrete Latent Variables.
Huarui He|Jie Wang|Yunfei Liu|Feng Wu
| Anthology ID: | DBLP:conf/cikm/He0LW22 |
|---|---|
| Volume: | Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022 |
| Year: | 2022 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 717-726 |
| URL: | https://doi.org/10.1145/3511808.3557397 |
| DOI: | https://doi.org/10.1145/3511808.3557397 |
| DBLP: | conf/cikm/He0LW22 |
| BibTeX: |
@inproceedings{he-2022-modeling,
author = {Huarui He and
Jie Wang and
Yunfei Liu and
Feng Wu},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{Modeling Diverse Chemical Reactions for Single-step Retrosynthesis via Discrete Latent Variables}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {717--726},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557397},
doi = {https://doi.org/10.1145/3511808.3557397}
}