datawhalechina/grape-book

图深度学习(葡萄书),在线阅读地址: https://datawhalechina.github.io/grape-book

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/ 100
Emerging

This book provides a gentle introduction to graph deep learning, a method used to find patterns and make predictions from connected data like social networks or molecular structures. It takes concepts and examples from various academic courses and industry practices to explain the theoretical foundations and offers practical code examples. Data scientists, machine learning engineers, and researchers can use this resource to understand and implement graph-based machine learning models.

277 stars. No commits in the last 6 months.

Use this if you are a data professional or researcher looking for a comprehensive guide to quickly get up to speed with graph deep learning concepts and their practical application using popular open-source frameworks.

Not ideal if you are looking for a high-level overview without code examples or advanced, specialized applications of graph neural networks in niche domains.

graph-analytics machine-learning-engineering data-science network-analysis predictive-modeling
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 19 / 25

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277

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License

Last pushed

Apr 21, 2024

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