APA (7th ed.) Citation

Wong, J. C., Ooi, C. C., Chattoraj, J., Lestandi, L., Dong, G., Kizhakkinan, U., . . . Dao, M. H. (2022, December 4). Graph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design. 2022 IEEE Symposium Series on Computational Intelligence (SSCI), 1469-1475. https://doi.org/10.1109/SSCI51031.2022.10022022

Chicago Style (17th ed.) Citation

Wong, Jian Cheng, Chin Chun Ooi, Joyjit Chattoraj, Lucas Lestandi, Guoying Dong, Umesh Kizhakkinan, David William Rosen, Mark Hyunpong Jhon, and My Ha Dao. "Graph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design." 2022 IEEE Symposium Series on Computational Intelligence (SSCI) 4 Dec. 2022: 1469-1475. https://doi.org/10.1109/SSCI51031.2022.10022022.

MLA (9th ed.) Citation

Wong, Jian Cheng, et al. "Graph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design." 2022 IEEE Symposium Series on Computational Intelligence (SSCI), 4 Dec. 2022, pp. 1469-1475, https://doi.org/10.1109/SSCI51031.2022.10022022.