Shypd.aiThe largest open index of AI toolsGraph-Learn is an AI Frameworks & Infra tool that provides a distributed framework for developing and applying large-scale graph neural networks. It offers solutions for both training and online inference of GNNs, supporting real-time sampling on dynamic graphs.
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Graph-Learn, formerly AliGraph, is a robust and distributed framework designed for the development and application of large-scale graph neural networks (GNNs). Developed by Alibaba, it has been successfully deployed in various industrial scenarios such as search recommendation, network security, and knowledge graphs. The framework offers a comprehensive solution encompassing both GNN training and online inference services. Its training component supports sampling on batch graphs and incremental GNN model training, compatible with TensorFlow and PyTorch. The online inference service, Dynamic-Graph-Service, ensures real-time sampling on dynamic graphs with streaming updates, boasting P99 latency within 20ms for large-scale graphs. It provides Python, C++, and Java interfaces for flexible integration.
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