Utilizing Low-Dimensional Molecular Embeddings for Rapid Chemical Similarity Search.
Kathryn E. Kirchoff|James Wellnitz|Joshua E. Hochuli|Travis Maxfield|Konstantin I. Popov|Shawn M. Gomez|Alexander Tropsha
| Anthology ID: | DBLP:conf/ecir/KirchoffWHMPGT24 |
|---|---|
| Volume: | Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part II |
| Year: | 2024 |
| Venue: | European Conference on Advances in Information Retrieval (ECIR) |
| Publisher: | Springer |
| Pages: | 34-49 |
| URL: | https://doi.org/10.1007/978-3-031-56060-6_3 |
| DOI: | https://doi.org/10.1007/978-3-031-56060-6_3 |
| DBLP: | conf/ecir/KirchoffWHMPGT24 |
| BibTeX: |
@inproceedings{kirchoff-2024-utilizing,
author = {Kathryn E. Kirchoff and
James Wellnitz and
Joshua E. Hochuli and
Travis Maxfield and
Konstantin I. Popov and
Shawn M. Gomez and
Alexander Tropsha},
editor = {Nazli Goharian and
Nicola Tonellotto and
Yulan He and
Aldo Lipani and
Graham McDonald and
Craig Macdonald and
Iadh Ounis},
title = {{Utilizing Low-Dimensional Molecular Embeddings for Rapid Chemical Similarity Search}},
booktitle = {{Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part II}},
series = {Lecture Notes in Computer Science},
volume = {14609},
pages = {34--49},
publisher = {Springer},
year = {2024},
url = {https://doi.org/10.1007/978-3-031-56060-6_3},
doi = {https://doi.org/10.1007/978-3-031-56060-6_3}
}