TensorFlow-GNN: An End-To-End Guide For Graph Neural Networks
How to do graph, node, and edge predictions using your own Pandas/NetworkX datasets
Graph Neural Networks
January 16, 2023
Graph data is everywhere. Graph research is in its infancy and tools for modeling graph data are only starting to emerge. This makes it the perfect time to jump in if you are a data scientist looking to distinguish yourself. Unfortunately, it can be difficult being on the cutting edge due to a lack of tutorials and support. This guide hopes to significantly reduce that pain point.
Read more on Towards Data Science
Michael Malin
With over 12 years of experience, I have deployed over 40 successful projects across all AI domains including computer vison, NPL, GNN, and forecasting. I specialize in TensorFlow graph and deep learning networks.
