AutoGL
Visit ToolAutoGL is an AI Frameworks & Infra tool that provides an AutoML framework and toolkit for machine learning on graphs. It simplifies the process of building and training machine learning models for graph data.
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AutoGL is an AI Frameworks & Infra tool that provides an AutoML framework and toolkit for machine learning on graphs. It simplifies the process of building and training machine learning models for graph data.
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About
AutoGL is an open-source AutoML framework and toolkit specifically designed for machine learning on graphs. It enables researchers and developers to easily and quickly conduct automated machine learning tasks on graph datasets. The framework supports various graph-based machine learning tasks through its auto solver, which integrates five main modules: auto feature engineer, neural architecture search (NAS), auto model, hyperparameter optimization (HPO), and auto ensemble. AutoGL is compatible with popular graph libraries like PyTorch Geometric (PyG) and Deep Graph Library (DGL), supporting tasks such as node classification, link prediction, and graph classification. It also serves as a flexible framework for implementing and testing custom AutoML or graph-based machine learning models.
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Open Source
Free
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