graph_nets
Discover DeepMind's Graph Nets library designed for creating graph networks using TensorFlow and Sonnet. Easily accessible through pip, the library is compatible with both CPU and GPU versions of TensorFlow. Graph Nets enable efficient graph neural network development, supporting graph-structured data processing. Interactive Jupyter demos illustrate its application in shortest path, sorting, and physics tasks. This library is well-suited for those interested in harnessing the adaptability and strength of graph networks in complex data modeling.
