We present a design study of the TensorFlow Graph Visualizer, part of the TensorFlow machine intelligence platform. This tool helps users understand complex machine learning architectures by ...

Diffbot’s AI model leverages this resource by querying the graph in real time to retrieve information, rather than relying on static knowledge encoded in its training data.

At a time when every enterprise looks to leverage generative artificial intelligence, data sites are turning their attention to graph databases and knowledge graphs. The global graph database market ...

TensorFlow 2.18 introduces new features that promise to optimize machine learning workflows, focusing on enhanced compatibility and improved computational efficiency.

Graph neural networks can be trained and inferred on any type of graph-structured data using TF-GNN. TF-GNN benefits from being a part of the TensorFlow ecosystem. These include support for quick ...

In the new paper TF-GNN: Graph Neural Networks in TensorFlow, a research team from Google Core ML, Google Research, and DeepMind open-sources the TensorFlow GNN (TF-GNN) scalable library, which ...