Graph neural networks in TensorFlow

Graph neural networks, or GNNs, are a powerful technique that leverage the graph's connectivity and input features to make predictions about graphs. TF-GNN is a production-tested library for building GNNs at large scale. It supports both modeling and training in TensorFlow and provides tooling for subgraph sampling. GNNs can be Show more