A comprehensive book that starts with beginner topics like graph theory and traditional graph approaches and moves to more advanced topics such as novel GNN models and state-of-the-art research. It is a self-contained resource with most of the required theory for graph neural networks.
Learn deep learning for free with fast.ai, 3Blue1Brown, MIT, and Kaggle. Build neural networks, understand backpropagation, and train models without any cost.
Start your journey into robotics with foundational concepts and hands-on exercises designed for newcomers.
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