Graph machine learning (GML) is effective in many business applications.
However, making GML easy to use and applicable to industry applications with
massive datasets remain challenging. We developed GraphStorm, which provides an
end-to-end solution for scalable graph construction, graph model training and
inference. GraphStorm has the following desirable properties: (a) Easy to use:
it can perform graph construction and model training and inference with just a
single command; (b) Expert-friendly: GraphStorm contains many advanced GML
modeling techniques to handle complex graph data and improve model performance;
(c) Scalable: every component in GraphStorm can operate on graphs with billions
of nodes and can scale model training and inference to different hardware
without changing any code. GraphStorm has been used and deployed for over a
dozen billion-scale industry applications after its release in May 2023. It is
open-sourced in Github: this https URL

GraphStorm 是一个端到端的解决方案，提供可扩展的图构建、模型训练和推理，并具有易于使用、适用于海量数据集和扩展性强的特性。