"This repository contains the implementation code for the book, which serves as a practical guide to understanding and applying Graph Neural Networks (GNNs) using Python."
python jupyter-notebook graph-theory recommender-system graph-generation link-prediction graph-convolutional-networks anomaly-detection node-representation graph-attention-networks hands-on-machine-learning graph-neural-network heterogeneous-graph vanilla-neural-network deep-walk traffic-forecasting gnn-model
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Updated
Sep 15, 2024 - Jupyter Notebook