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Aleksander Molak: Practical graph neural networks in Python with TensorFlow and Spektral
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Last Updated: September 21, 2026
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Amber sutch hosts Rahul Agrawal to discuss Speaker:: Aleksander Molak Track: PyData: Deep Learning The full list ▭▭▭▭▭▭▭▭▭▭ Pytorch Geometric: pytorch-geometric.readthedocs.io/ Deep Although the theory of GNN is available from various sources, it is very tricky to implement a GNN. This lecture has a singular goal. ... will give an introductory presentation and Colab exercise on youtube.com/watch?v=lZskxdMpYfE Ready to learn In this episode, we implement the Papers ▭▭▭▭▭▭▭▭▭▭▭▭▭▭▭ GNNExplainer: arxiv.org/abs/1903.03894 Survey: ... PyTorch Geometric is a library built on top of PyTorch, implementing a set of tools to create and train