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Spektral: Graph Neural Networks in TensorFlow 2 and Keras

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author

Daniele Grattarola

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2025-12-12 03:01:54

raw text

Spektral Spektral Home Installation New in Spektral 1.0 Contributing Tutorials Getting started Data modes Creating a dataset Creating a layer Examples Layers Convolutional layers Pooling layers Base layers Models Data Containers Datasets Loaders Transforms Utils Convolution Sparse Miscellaneous Other External resources About Spektral Docs » Home Welcome to Spektral Spektral is a Python library for graph deep learning, based on the Keras API and TensorFlow 2. The main goal of this project is to provide a simple but flexible framework for creating graph neural networks (GNNs). You can use Spektral for classifying the users of a social network, predicting molecular properties, generating new graphs with GANs, clustering nodes, predicting links, and any other task where data is described by graphs. Spektral implements some of the most popular layers for graph deep learning, including: Graph Convolutional Networks (...

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