Edge-Aware Graph Attention Networks for Interpreting Biophysical Mechanisms from Molecular Dynamics Simulations.

Ahsan M, Pindi C, Rodriguez L, Shah P, Palermo G

Open source

DOI
10.64898/2026.09.03.749137
Published
2026 Oct 14
Container
bioRxiv : the preprint server for biology
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.64898/2026.09.03.749137,
  title = {Edge-Aware Graph Attention Networks for Interpreting Biophysical Mechanisms from Molecular Dynamics Simulations.},
  author = {Ahsan M and Pindi C and Rodriguez L and Shah P and Palermo G},
  year = {2026},
  journal = {bioRxiv : the preprint server for biology},
  doi = {10.64898/2026.09.03.749137},
  url = {https://doi.org/10.64898/2026.09.03.749137}
}

RIS

TY  - JOUR
TI  - Edge-Aware Graph Attention Networks for Interpreting Biophysical Mechanisms from Molecular Dynamics Simulations.
AU  - Ahsan M
AU  - Pindi C
AU  - Rodriguez L
AU  - Shah P
AU  - Palermo G
PY  - 2026
JO  - bioRxiv : the preprint server for biology
DO  - 10.64898/2026.09.03.749137
UR  - https://doi.org/10.64898/2026.09.03.749137
ER  - 

APA

M, A., C, P., L, R., P, S., & G, P. (2026). Edge-Aware Graph Attention Networks for Interpreting Biophysical Mechanisms from Molecular Dynamics Simulations.. bioRxiv : the preprint server for biology. https://doi.org/10.64898/2026.09.03.749137

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