Jan. 19, 2022, 1:22 p.m. | Tomaz Bratanic

Towards Data Science - Medium towardsdatascience.com

Leverage the power of PyTorch Geometric to develop and train custom Graph Neural Networks for your application

I have wanted to write about the PyTorch Geometric (pyG) ever since I saw they announced their collaboration with Stanford University on their workshop. The PyTorch Geometric (pyG) is a library built upon PyTorch to help you easily write and train custom Graph Neural Networks for your applications. In this blog post, I will present how you can fetch data from Neo4j …

graph neural networks machine learning neo4j pytorch recommendations

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