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You are here		www.blopig.com Protein Property Prediction Using Graph Neural Networks \| Oxford Protein Informatics Group
\|	\|	foldingathome.org Coronavirus - What we're doing and how you can help in simple terms - Folding@home	6.3 parsecs Travel
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\|	\|	research.google Robust Graph Neural Networks Posted by Bryan Perozzi, Research Scientist and Qi Zhu, Research Intern, Google Research Graph Neural Networks (GNNs) are powerful tools for levera...	2.2 parsecs Travel
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\|	\|	blog.fastforwardlabs.com Exciting Applications of Graph Neural Networks Graph Neural Networks (GNNs) are neural networks that take graphs as inputs. These models operate on the relational information in data to produce insights not possible in other neural network architectures and algorithms. While there is much excitement in the deep learning community around GNNs, in industry circles, this is sometimes less so. So, I'll review a few exciting applications empowered by GNNs. Overview of Graphs and GNNs A graph (sometimes called a network) is a data structure that highlights the relationships between components in the data.	1.3 parsecs Travel
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\|	\|	blog.geomblog.org The Geomblog: On Pixar, creativity and advising I'm in Bertinoro for the Algorithms and Data Structures workshop organized by Camil Demetrescu, Andrew Goldberg and Valerie King. I will tr...	29.7 parsecs Travel
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