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graph-learn

Enhancing Large-Scale Graph Neural Networks with Distributed Architecture

Product DescriptionGraph-Learn, previously AliGraph, is a distributed framework designed for developing large-scale graph neural networks. Utilized in applications like search recommendations and network security at Alibaba, it combines online inference services with training, providing a full solution for GNN deployments in commercial contexts. GraphLearn-Training enables graph sampling and GNN model training with interfaces in Python and C++, supporting TensorFlow and PyTorch. The Dynamic-Graph-Service offers real-time sampling with latency assurances on dynamic graphs, advancing online inference potential.
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