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Graph Neural Networks for Protein-Protein Interactions - A Short Survey
April 17, 2024, 4:41 a.m. | Mingda Xu, Peisheng Qian, Ziyuan Zhao, Zeng Zeng, Jianguo Chen, Weide Liu, Xulei Yang
cs.LG updates on arXiv.org arxiv.org
Abstract: Protein-protein interactions (PPIs) play key roles in a broad range of biological processes. Numerous strategies have been proposed for predicting PPIs, and among them, graph-based methods have demonstrated promising outcomes owing to the inherent graph structure of PPI networks. This paper reviews various graph-based methodologies, and discusses their applications in PPI prediction. We classify these approaches into two primary groups based on their model structures. The first category employs Graph Neural Networks (GNN) or Graph …
abstract arxiv cs.lg graph graph-based graph neural networks interactions key networks neural networks paper processes protein reviews roles strategies survey them type
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