gnn
TensorFlow GNN is a library for creating Graph Neural Networks within the TensorFlow framework, providing tools like GraphTensor for mixed-type graphs, data preparation utilities, and pre-built models. Initially a Google-internal tool, it supports a variety of uses, integrating smoothly with other scalable graph technology. Practical applications can be explored via Google Colab examples, with demos including molecular graph classification and shortest path learning. Compatible with TensorFlow 2.12+, Apache Beam, and Keras v2, it offers a reliable development setup.
