Knowledge graphs are a way of representing information that can capture complex relationships more easily than conventional databases. At Amazon, we use ...
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In the last few years, graph neural networks (GNNs) have emerged as a promising new supervised learning framework capable of bringing the power of deep ...
The International Labor Organization estimates that today, more than 24.9 million people around the world are victims of human trafficking. Nearly 20% of ...
Xin Luna Dong, a senior principal scientist at Amazon, leads research on Amazon’s product graph, a huge graphical representation of the products in the ...
The first Amazon Web Services (AWS) Machine Learning Summit on June 2 will bring together customers, developers, and the science community to learn about ...
As a Senior Program Committee member at this year’s Knowledge Discovery and Data Mining Conference (KDD), with a wide perspective on paper submissions, ...
As Amazon Scholar Chandan Reddy recently observed, graph neural networks are a hot topic at this year’s Conference on Knowledge Discovery and Data Mining ...
Forecasting product demand from customers is central to what Amazon does. It helps ensure that products reach customers on time, that inventory management ...
Most machine learning models use supervised learning, meaning they’re trained on annotated data, which is costly and time consuming to acquire.The chief ...
George Karypis, an Amazon senior principal scientist within the Amazon Web Services organization, has been awarded the SC21 Test of Time Award for a 1998 ...