Graph neural networks (GNNs)
0
George Karypis and collaborator receive SC21 test of time award for 1998 graph partitioning paper
0

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 ...

0
Amazon at WSDM: The future of graph neural networks
0

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 ...

0
What’s next for deep learning?
0

The Association for the Advancement of Artificial Intelligence (AAAI), whose annual conference begins this week, had its first meeting in 1980. But its AI ...

0
Interpretable ensemble models improve product retrieval
0

The field of machine learning is evolving at a rapid pace, with the regular release of new models that promise improvements over their predecessors. ...

0
How AWS uses graph neural networks to meet customer needs
0

Graphs are an information-rich way to represent data. A graph consists of nodes — typically represented by circles — and edges — typically represented as ...

0
Amazon at ICLR: Graphs, time series, and more
0

Time series forecasting and graph representations of data are both major topics of research at Amazon: time series forecasting is crucial to both supply ...

0
How the Zoox robotaxi predicts everything, everywhere, all at once
0

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 ...

0
KDD: Graph neural networks, fairness, and inclusivity
0

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 ...

0
Scaling graph-neural-network training with CPU-GPU clusters
0

Graphs are a useful way to represent data, since they capture connections between data items, and graph neural networks (GNNs) are an increasingly popular ...

0
Using graph neural networks to recommend related products
0

Recommending related products — say, a phone case to go along with a new phone — is a fundamental capability of e-commerce sites, one that saves customers ...

Rockstary Reviews
Logo
Shopping cart