https://distill.pub/2021/gnn-intro/
A Gentle Introduction to Graph Neural Networks
What components are needed for building learning algorithms that leverage the structure and properties of graphs?
graph neural networksgentleintroduction
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https://github.com/tensorflow/gnn
GitHub - tensorflow/gnn: TensorFlow GNN is a library to build Graph Neural Networks on the...
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform. - tensorflow/gnn
graph neural networkson thegithubtensorflowgnn
https://www.infoq.com/presentations/graph-neural-networks/
Reimagining Platform Engagement with Graph Neural Networks - InfoQ
Apr 13, 2026 - Mariia Bulycheva discusses the transition from classic deep learning to GNNs for Zalando's landing page. She explains the complexities of converting user logs...
graph neural networksplatformengagementinfoq
https://blog.tensorflow.org/2024/02/graph-neural-networks-in-tensorflow.html
Graph neural networks in TensorFlow — The TensorFlow Blog
Announcing the release of TensorFlow GNN 1.0, a production-tested library for building GNNs at Google scale, supporting both modeling and training.
graph neural networksthe blogtensorflow
https://research.google/blog/graph-neural-networks-in-tensorflow/
Graph neural networks in TensorFlow
Posted by Dustin Zelle, Software Engineer, Google Research, and Arno Eigenwillig, Software Engineer, CoreML Objects and their relationships are ubi...
graph neural networkstensorflow
https://proceedings.mlr.press/v202/xu23w.html
Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks
Do Not Train It: A Linear Neural Architecture Search of Graph Neural NetworksPeng Xu, Lin Zhang, Xuanzhou Liu, Jiaqi Sun, Yue Zhao, ...
neural architecture searchtrainlineargraphnetworks