Shypd.aiThe largest open index of AI toolsSpektral is a Python library for graph deep learning, built on the Keras API and TensorFlow 2. It provides a flexible framework for creating various graph neural networks (GNNs) and includes utilities for graph manipulation.
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Spektral is an open-source Python library designed for graph deep learning, leveraging the Keras API and TensorFlow 2. It offers a straightforward yet adaptable framework for developing Graph Neural Networks (GNNs). The library supports a wide array of popular convolutional layers, such as GCN, Chebyshev, GraphSAGE, ARMA, ECC, GAT, APPNP, GIN, and Diffusional Convolutions, alongside various pooling layers like MinCut, DiffPool, Top-K, SAG, Global, Global gated attention, and SortPool. Spektral also provides extensive utilities for representing, manipulating, and transforming graphs, making it suitable for tasks like classifying social network users, predicting molecular properties, generating graphs with GANs, and clustering nodes. The 1.0 release introduced standardized Graph and Dataset containers, a new Loader class for batching, a transforms module, and GeneralConv/GeneralGNN classes for simplified model building.
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