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Hands-On Graph Neural Networks using Python: Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch

Hands-On Graph Neural Networks using Python: Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch

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Product Details

Learn the fundamentals of graph theory for data science and machine learning||Implement state-of-the-art graph neural network architectures||Build creative and powerful applications in various fields||Create your own graph datasets from tabular or raw data||Transform nodes and edges into high-quality embeddings||Learn the fundamentals of graph theory for data science and machine learning||Implement state-of-the-art graph neural network architectures||Build creative and powerful applications in various fields||Create your own graph datasets from tabular or raw data||Transform nodes and edges into high-quality embeddings||Select the best graph neural network model according to your problem||Perform tasks like node classification, graph generation, link prediction||Apply this knowledge to real use cases with raw data

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