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Applied Deep Learning on Graphs

You're reading from   Applied Deep Learning on Graphs Leveraging Graph Data to Generate Impact Using Specialized Deep Learning Architectures

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Product type Paperback
Published in Dec 2024
Publisher Packt
ISBN-13 9781835885963
Length
Edition 1st Edition
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Authors (2):
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Lakshya Khandelwal Lakshya Khandelwal
Author Profile Icon Lakshya Khandelwal
Lakshya Khandelwal
Subhajoy Das Subhajoy Das
Author Profile Icon Subhajoy Das
Subhajoy Das
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Toc

Table of Contents (19) Chapters Close

Preface 1. Part 1: Foundations of Graph Learning FREE CHAPTER
2. Chapter 1: Introduction to Graph Learning 3. Chapter 2: Graph Learning in the Real World 4. Chapter 3: Graph Representation Learning 5. Part 2: Advanced Graph Learning Techniques
6. Chapter 4: Deep Learning Models for Graphs 7. Chapter 5: Graph Deep Learning Challenges 8. Chapter 6: Harnessing Large Language Models for Graph Learning 9. Part 3: Practical Applications and Implementation
10. Chapter 7: Graph Deep Learning in Practice 11. Chapter 8: Graph Deep Learning for Natural Language Processing 12. Chapter 9: Building Recommendation Systems Using Graph Deep Learning 13. Chapter 10: Graph Deep Learning for Computer Vision 14. Part 4: Future Directions
15. Chapter 11: Emerging Applications 16. Chapter 12: The Future of Graph Learning 17. Index 18. Other Books You May Enjoy

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

abstract meaning representation (AMR) 127

A/B testing 140

Adam 69

adaptive graph convolutional networks (AGCNs) 203

adaptive receptive field 75

adjacency list 15

adjacency matrix 14

advanced persistent threat (APT) 190

aggregation (AGG) function 66

AI domains

integrating with 205

AliGraph 84, 200

AMR-to-text summarization 127

anti-money laundering (AML) 187

Area Under the Receiver Operating Characteristic Curve (ROC AUC) 115

artificial general intelligence (AGI)

role, of graph representations 208

artificial intelligence (AI) 4, 42, 89

ATOMIC 209

attention mechanism 73, 80

in graph-based image classification 165

attention model 73

attention network 73

augmented reality (AR) 211

B

bag-of-word modeling 120

Bayesian personalized...

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