Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation.
Jialun Wu|Buyue Qian|Yang Li|Zeyu Gao|Meizhi Ju|Yifan Yang|Yefeng Zheng|Tieliang Gong|Chen Li|Xianli Zhang
| Anthology ID: | DBLP:conf/cikm/WuQLGJY0G0Z22 |
|---|---|
| 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: | 2169-2178 |
| URL: | https://doi.org/10.1145/3511808.3557380 |
| DOI: | https://doi.org/10.1145/3511808.3557380 |
| DBLP: | conf/cikm/WuQLGJY0G0Z22 |
| BibTeX: |
@inproceedings{wu-2022-leveraging,
author = {Jialun Wu and
Buyue Qian and
Yang Li and
Zeyu Gao and
Meizhi Ju and
Yifan Yang and
Yefeng Zheng and
Tieliang Gong and
Chen Li and
Xianli Zhang},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {2169--2178},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557380},
doi = {https://doi.org/10.1145/3511808.3557380}
}