About - Hands-on Geometric Deep Learning

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Deep learning and large language models struggle to handle the relational complexity of real-world scenarios, such as contextual reasoning, social networks, complex workflows, molecular graphs, or transportation networks. Geometric Deep Learning (GDL) effectively addresses these challenges, often requiring far less data.

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Subscribe to Hands-on Geometric Deep Learning

Dive into hands-on Geometric Deep Learning! From manifolds and graph neural networks to Lie groups and point clouds, we blend theory with practical Python tools like PyTorch Geometric & Geomstats.

People

Patrick Nicolas

@patricknicolas

I have over 25 years of experience in software engineering, working as both a developer and manager. Over the past decade, I have focused on data science, with a specialization in Geometric Deep Learning, and Graph Neural Networks.