Welcome.

I'm a Senior Applied Scientist at Microsoft. I received my Ph.D. from the Department of Computer Science and Software Engineering at Auburn University. My primary research is in natural language processing and AI. I also explore geometric deep learning and 3D equivariant graph neural networks for molecular science.

Recent Publications

Image for GotenNet: Rethinking Efficient 3D Equivariant Graph Neural Networks

GotenNet: Rethinking Efficient 3D Equivariant Graph Neural Networks

Sarp Aykent, Tian Xia, The Thirteenth International Conference on Learning Representations (ICLR 2025)

Code PDF Project

Citation Formats

APA

Aykent, S., & Xia, T. (2025). GotenNet: Rethinking Efficient 3D Equivariant Graph Neural Networks. The Thirteenth International Conference on Learning Representations. https://openreview.net/forum?id=5wxCQDtbMo
Copied!

Vancouver

Aykent S, Xia T. GotenNet: Rethinking Efficient 3D Equivariant Graph Neural Networks. In: The Thirteenth International Conference on Learning Representations [Internet]. 2025. Available from: https://openreview.net/forum?id=5wxCQDtbMo
Copied!

Harvard

Aykent, S. and Xia, T. (2025) “GotenNet: Rethinking Efficient 3D Equivariant Graph Neural Networks,” in The Thirteenth International Conference on Learning Representations. Available at: https://openreview.net/forum?id=5wxCQDtbMo.
Copied!

MLA

Aykent, S., & Xia, T. (2025). GotenNet: Rethinking Efficient 3D Equivariant Graph Neural Networks. The Thirteenth International Conference on Learning Representations. https://openreview.net/forum?id=5wxCQDtbMo
Copied!

Download Citations

Image for SaVeNet: A Scalable Vector Network for Enhanced Molecular Representation Learning

SaVeNet: A Scalable Vector Network for Enhanced Molecular Representation Learning

Sarp Aykent, Tian Xia, Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023) , Acceptance Rate: 26.1%

Code PDF

Citation Formats

APA

Aykent, S., & Xia, T. (2023). SaVeNet: A Scalable Vector Network for Enhanced Molecular Representation Learning. Thirty-Seventh Conference on Neural Information Processing Systems.
Copied!

Vancouver

Aykent S, Xia T. SaVeNet: A Scalable Vector Network for Enhanced Molecular Representation Learning. In: Thirty-seventh Conference on Neural Information Processing Systems. 2023.
Copied!

Harvard

Aykent, S. and Xia, T. (2023) “SaVeNet: A Scalable Vector Network for Enhanced Molecular Representation Learning,” in Thirty-seventh Conference on Neural Information Processing Systems.
Copied!

MLA

Aykent, S., & Xia, T. (2023). SaVeNet: A Scalable Vector Network for Enhanced Molecular Representation Learning. Thirty-Seventh Conference on Neural Information Processing Systems.
Copied!

Download Citations

Image for GBPnet

GBPNet: Universal Geometric Representation Learning on Protein Structures

Sarp Aykent, Tian Xia, Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD 2022) , Acceptance Rate: 14.99%

Code PDF

Citation Formats

APA

Aykent, S., & Xia, T. (2022). GBPNet: Universal Geometric Representation Learning on Protein Structures. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery & Data Mining.
Copied!

Vancouver

Aykent S, Xia T. GBPNet: Universal Geometric Representation Learning on Protein Structures. In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. Washington, DC, USA: Association for Computing Machinery; 2022. (KDD ’22).
Copied!

Harvard

Aykent, S. and Xia, T. (2022) “GBPNet: Universal Geometric Representation Learning on Protein Structures,” in Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. Washington, DC, USA: Association for Computing Machinery (KDD ’22).
Copied!

MLA

Aykent, S., & Xia, T. (2022). GBPNet: Universal Geometric Representation Learning on Protein Structures. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery & Data Mining.
Copied!

Download Citations

View All Publications