Show HN: Deep learning on graphs with Keras

Spektral is a framework for relational representation learning, built in Python and based on the Keras API. However, by placing artificial intelligence in the framework of relational inductive bias, as proposed by Battaglia et al., we see that even the most modern deep learning methods are designed to exploit the relational inductive biases of particular types of data. Adding to this, in recent years graph neural networks (GNNs) have been proposed, in several formulations, as a general framework for exploiting arbitrary relational inductive biases on arbitrarily defined entities and relations, giving rise to the filed of relational representation learning (RRL).

Source: github.com