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Graphs are a useful way to represent data, since they capture connections between data items, and graph neural networks (GNNs) are an increasingly popular way to...
As general chair of this year’s ACM Conference on Knowledge Discovery and Data Mining (KDD), Huzefa Rangwala, a senior manager at the Amazon Machine Learning Solutions...
We humans often lament that we cannot predict the future, but perhaps we don’t give ourselves quite enough credit. With sufficient practice, our short-term predictive skills...
Time series forecasting and graph representations of data are both major topics of research at Amazon: time series forecasting is crucial to both supply chain optimization...
Graphs are an information-rich way to represent data. A graph consists of nodes — typically represented by circles — and edges — typically represented as line...
The Association for the Advancement of Artificial Intelligence (AAAI), whose annual conference begins this week, had its first meeting in 1980. But its AI lineage goes...
George Karypis, a senior principal scientist at Amazon Web Services, is one of the keynote speakers at this year’s Conference on Web Search and Data Mining...
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 paper...
Most machine learning models use supervised learning, meaning they’re trained on annotated data, which is costly and time consuming to acquire. The chief method for doing unsupervised...
Forecasting product demand from customers is central to what Amazon does. It helps ensure that products reach customers on time, that inventory management in fulfillment centers...