GitHub / jElhamm / Hands-On-Graph-Neural-Networks-Using-Python

"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."

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PURL: pkg:github/jElhamm/Hands-On-Graph-Neural-Networks-Using-Python

Topics: anomaly-detection, deep-walk, gnn-model, graph-attention-networks, graph-convolutional-networks, graph-generation, graph-neural-network, graph-theory, hands-on-machine-learning, heterogeneous-graph, jupyter-notebook, link-prediction, node-representation, python, recommender-system, traffic-forecasting, vanilla-neural-network

• Files
• Readme
• Dependencies