The team behind PyG is working on a turn-key solution for AI over large scale data warehouses. We believe the future of ML is a seamless integration between modern cloud data warehouses and AI algorithms. Our ML infrastructure massively simplifies the training and deployment of ML models on structured data.
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With over 40,000 monthly downloads and nearly 13,000 Github stars, PyG is the ultimate platform for training and development of Graph Neural Network (GNN) architectures. GNNs—one of the hottest areas of machine learning now—are a class of deep learning models that generalize Transformer and CNN architectures and enable us to apply the power of deep learning to complex relational data. GNNs are unique in a sense that they can be applied to data of different shapes and modalities.
Matthias Fey
Jiaxuan You
Rex Ying
Subramanya Dulloor
Manan Shah
Jan Eric Lenssen
Hema Raghavan
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