GotenNet: Rethinking Efficient 3D Equivariant Graph Neural NetworksSarp Aykent, Tian XiaThe Thirteenth International Conference on Learning Representations (ICLR 2025) PDF (opens in new tab) Code (opens in new tab) Cite ProjectCitation FormatsAPACopied! Copy APA citationAykent, S., & Xia, T. (2025). GotenNet: Rethinking Efficient 3D Equivariant Graph Neural Networks. The Thirteenth International Conference on Learning Representations. https://openreview.net/forum?id=5wxCQDtbMoVancouverCopied! Copy Vancouver citationAykent 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=5wxCQDtbMoHarvardCopied! Copy Harvard citationAykent, S. and Xia, T. (2025) “GotenNet: Rethinking Efficient 3D Equivariant Graph Neural Networks,” The Thirteenth International Conference on Learning Representations. Available at: https://openreview.net/forum?id=5wxCQDtbMo.MLACopied! Copy MLA citationAykent, Sarp, and Tian Xia. “GotenNet: Rethinking Efficient 3D Equivariant Graph Neural Networks.” The Thirteenth International Conference on Learning Representations, 2025, https://openreview.net/forum?id=5wxCQDtbMo.Download CitationsBibTeXBibTxTRefMan
SaVeNet: A Scalable Vector Network for Enhanced Molecular Representation LearningSarp Aykent, Tian XiaThirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023) PDF (opens in new tab) Code (opens in new tab) CiteCitation FormatsAPACopied! Copy APA citationAykent, S., & Xia, T. (2023). SaVeNet: A Scalable Vector Network for Enhanced Molecular Representation Learning. Thirty-Seventh Conference on Neural Information Processing Systems.VancouverCopied! Copy Vancouver citationAykent S, Xia T. SaVeNet: A Scalable Vector Network for Enhanced Molecular Representation Learning. In: Thirty-seventh Conference on Neural Information Processing Systems. 2023.HarvardCopied! Copy Harvard citationAykent, S. and Xia, T. (2023) “SaVeNet: A Scalable Vector Network for Enhanced Molecular Representation Learning,” Thirty-seventh Conference on Neural Information Processing Systems.MLACopied! Copy MLA citationAykent, Sarp, and Tian Xia. “SaVeNet: A Scalable Vector Network for Enhanced Molecular Representation Learning.” Thirty-Seventh Conference on Neural Information Processing Systems, 2023.Download CitationsBibTeXBibTxTRefMan
GBPNet: Universal Geometric Representation Learning on Protein StructuresSarp Aykent, Tian XiaProceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD 2022) PDF (opens in new tab) Code (opens in new tab) CiteCitation FormatsAPACopied! Copy APA citationAykent, S., & Xia, T. (2022). GBPNet: Universal Geometric Representation Learning on Protein Structures. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, KDD ’22.VancouverCopied! Copy Vancouver citationAykent 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).HarvardCopied! Copy Harvard citationAykent, S. and Xia, T. (2022) “GBPNet: Universal Geometric Representation Learning on Protein Structures,” Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. Washington, DC, USA: Association for Computing Machinery (KDD ’22).MLACopied! Copy MLA citationAykent, Sarp, and Tian Xia. “GBPNet: Universal Geometric Representation Learning on Protein Structures.” Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery & Data Mining [Washington, DC, USA], KDD ’22, 2022.Download CitationsBibTeXBibTxTRefMan
AARef: Exploiting Authorship Identifiers of Micro-Messages with Refinement BlocksSarp Aykent, Gerry Dozier2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA) , Pages 1044-1050 PDF (opens in new tab) CiteCitation FormatsAPACopied! Copy APA citationAykent, S., & Dozier, G. (2020). AARef: Exploiting Authorship Identifiers of Micro-Messages with Refinement Blocks. 2020 19th IEEE International Conference on Machine Learning and Applications, 1044–1050. https://doi.org/10.1109/ICMLA51294.2020.00169VancouverCopied! Copy Vancouver citationAykent S, Dozier G. AARef: Exploiting Authorship Identifiers of Micro-Messages with Refinement Blocks. In: 2020 19th IEEE International Conference on Machine Learning and Applications. IEEE; 2020. p. 1044–50. doi:10.1109/ICMLA51294.2020.00169HarvardCopied! Copy Harvard citationAykent, S. and Dozier, G. (2020) “AARef: Exploiting Authorship Identifiers of Micro-Messages with Refinement Blocks,” 2020 19th IEEE International Conference on Machine Learning and Applications. IEEE, pp. 1044–1050. Available at: https://doi.org/10.1109/ICMLA51294.2020.00169.MLACopied! Copy MLA citationAykent, Sarp, and Gerry Dozier. “AARef: Exploiting Authorship Identifiers of Micro-Messages with Refinement Blocks.” 2020 19th IEEE International Conference on Machine Learning and Applications, 2020, pp. 1044–50, https://doi.org/10.1109/ICMLA51294.2020.00169.Download CitationsBibTeXBibTxTRefMan
