Today, we are excited to release TensorFlow Graph Neural Networks (GNNs), a library designed to make it easy to work with graph structured data using TensorFlow. We have used an earlier version of this library in production at Google in a variety of contexts (for example, spam and anomaly detection, traffic estimation, YouTube content labeling) and as a component in our scalable graph mining pipelines. In particular, given the myriad types of data at Google, our library was designed with heterogeneous graphs in mind.
We are releasing this library with the intention to encourage collaborations with researchers in industry.