M-JEPA: Predictive Self-Supervised Learning for Molecular Graphs with Scaffold-Shift Evaluation on Tox21

Karthik Iyer, Nasser Sabar

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DOI: 10.1021/acs.jcim.6c00828
Published: 2026-07-06
Container: Journal of Chemical Information and Modeling
Publisher: American Chemical Society (ACS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1021/acs.jcim.6c00828,
  title = {M-JEPA:
Predictive Self-Supervised Learning
for Molecular Graphs with Scaffold-Shift Evaluation on Tox21},
  author = {Karthik Iyer and Nasser Sabar},
  year = {2026},
  journal = {Journal of Chemical Information
and Modeling},
  doi = {10.1021/acs.jcim.6c00828},
  url = {https://doi.org/10.1021/acs.jcim.6c00828}
}

RIS

TY  - JOUR
TI  - M-JEPA:
Predictive Self-Supervised Learning
for Molecular Graphs with Scaffold-Shift Evaluation on Tox21
AU  - Karthik Iyer
AU  - Nasser Sabar
PY  - 2026
JO  - Journal of Chemical Information
and Modeling
DO  - 10.1021/acs.jcim.6c00828
UR  - https://doi.org/10.1021/acs.jcim.6c00828
ER  -

APA

Iyer, K., & Sabar, N. (2026). M-JEPA: Predictive Self-Supervised Learning for Molecular Graphs with Scaffold-Shift Evaluation on Tox21. Journal of Chemical Information and Modeling. https://doi.org/10.1021/acs.jcim.6c00828

Source records

crossref · retrieved 2026-09-25T10:50:29.045Z