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GBPnet

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Please consider citing the works below if this project is helpful:

@inproceedings{gbp2022,
address = {Washington, DC, USA},
author = {Aykent, Sarp and Xia, Tian},
series = {KDD '22},
booktitle = {Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery \& Data Mining},
isbn = {978-1-4503-9385-0/22/08},
year = {2022},
organization = {Association for Computing Machinery},
title = {GBPNet: Universal {Geometric} {Representation} {Learning} on {Protein} {Structures}},
}

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.
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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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