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I'm a Senior Research Scientist at Comcast. I've received my Ph.D. from the Department of Computer Science and Software Engineering at Auburn University. My research focuses on artificial intelligence and natural language processing.

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)

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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
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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
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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.
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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
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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%

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APA

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

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

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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.
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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).
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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).
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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.
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