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Graph Learning Techniques
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Overview
This comprehensive guide addresses key challenges at the intersection of data science, graph learning, and privacy preservation. A valuable reference for advance undergraduate and postgraduate students in Network Analysis, Privacy and Security in Data Analytics, Graph Theory, and Applications in Healthcare.
This item is Non-Returnable
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Details
- ISBN-13: 9781032851136
- ISBN-10: 1032851139
- Publisher: CRC Press
- Publish Date: February 2025
- Dimensions: 9.21 x 6.14 x 0.5 inches
- Shipping Weight: 0.97 pounds
- Page Count: 162
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