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Rex Ying is an assistant professor at Yale University. His research areas include algorithms for graph neural networks, geometric embeddings and explainable models.
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He is the author of many widely used GNN algorithms such as GraphSAGE, PinSAGE and GNNExplainer.
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<!-- In addition, Rex has worked on a variety of applications in physical simulations, social networks, knowledge graphs and biology. -->
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He serves as the area chair for LoG 2022.
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He is the lead organizer for the Simulation for Deep Learning Workshop in ICLR 2021, and co-organized the graph representation learning workshop in ICML 2020 and Stanford Graph Learning Workshop in 2021.
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<h2>Get in touch</h2>
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