CataCon: a contrastive graph representation learning framework for catalyst prediction.

Shi H, Wang Y, Song S, Li K, Gao W, Liu S, Qiao J, Wei L

Open source

DOI
10.1186/s13321-026-01212-7
Published
2026 May 19
Container
Journal of cheminformatics
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1186/s13321-026-01212-7,
  title = {CataCon: a contrastive graph representation learning framework for catalyst prediction.},
  author = {Shi H and Wang Y and Song S and Li K and Gao W and Liu S and Qiao J and Wei L},
  year = {2026},
  journal = {Journal of cheminformatics},
  doi = {10.1186/s13321-026-01212-7},
  url = {https://doi.org/10.1186/s13321-026-01212-7}
}

RIS

TY  - JOUR
TI  - CataCon: a contrastive graph representation learning framework for catalyst prediction.
AU  - Shi H
AU  - Wang Y
AU  - Song S
AU  - Li K
AU  - Gao W
AU  - Liu S
AU  - Qiao J
AU  - Wei L
PY  - 2026
JO  - Journal of cheminformatics
DO  - 10.1186/s13321-026-01212-7
UR  - https://doi.org/10.1186/s13321-026-01212-7
ER  - 

APA

H, S., Y, W., S, S., K, L., W, G., S, L., J, Q., & L, W. (2026). CataCon: a contrastive graph representation learning framework for catalyst prediction.. Journal of cheminformatics. https://doi.org/10.1186/s13321-026-01212-7

Source records