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Graph-Based Machine Learning with Python - Pietro Mascolo
Aleksander Molak: Practical graph neural networks in Python with TensorFlow and Spektral
Think Graph Neural Networks (GNN) are hard to understand Try this two part series..
Study Graph Neural Network | Python, theory and practice | Livecoding
Graph Neural Networks - a perspective from the ground up
AI Explained - Graph Neural Networks | How AI Uses Graphs to Accelerate Innovation
Let us code a Graph Neural Network (GNN) from Scratch in 30 minutes | Build your first GNN
Kefei Hu - Applying ML on graph-structured data - an introduction to Graph Neural Networks
Graph Neural Networks Full Course | Learn GNNs, GCN, GAT & Graph AI
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Last Updated: September 27, 2026
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Amber sutch hosts Rahul Agrawal to discuss AppliedAICourse.com AppliedRoots.com. The full list ▭▭▭▭▭▭▭▭▭▭ Pytorch Geometric: pytorch-geometric.readthedocs.io/ Deep Speaker:: Aleksander Molak Track: PyData: Deep Learning Although the theory of GNN is available from various sources, it is very tricky to implement a GNN. This lecture has a singular goal. youtube.com/watch?v=lZskxdMpYfE Ready to learn