APA (7th ed.) Citation

SJ, C., J, W., SH, M., S, M., AK, S., MS, K., . . . SS, S. (2026). Geometric deep learning enables high-fidelity network imputation for HIV transmission modeling. Communications medicine, 6(1), . https://doi.org/10.1038/s43856-026-01640-4

Chicago Style (17th ed.) Citation

SJ, Clipman, Wang J, Mehta SH, Mohapatra S, Srikrishnan AK, Kumar MS, Lucas GM, Latkin CA, and Solomon SS. "Geometric Deep Learning Enables High-fidelity Network Imputation for HIV Transmission Modeling." Communications Medicine 6, no. 1 (2026). https://doi.org/10.1038/s43856-026-01640-4.

MLA (9th ed.) Citation

SJ, Clipman, et al. "Geometric Deep Learning Enables High-fidelity Network Imputation for HIV Transmission Modeling." Communications Medicine, vol. 6, no. 1, 2026, https://doi.org/10.1038/s43856-026-01640-4.