A library to build graph neural networks in Keras

What it does

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 also includes lots of utilities for representing, manipulating, and transforming graphs in your graph deep learning projects. See how to get started with Spektral and have a look at the examples for some templates. The source code of the project is…from danielegrattarola.github.io

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