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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

Product type Paperback

Published in Dec 2024

Publisher Packt

ISBN-13 9781835885963

Length

Edition 1st Edition

Concepts

Data Governance

Authors (2):

Lakshya Khandelwal

Subhajoy Das

View More author details

Table of Contents (19) Chapters

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

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18. Other Books You May Enjoy

Part 4: Future Directions

In the final part of the book, you will discover additional applications of graph learning beyond the core domains and explore future directions. You will learn about the latest contemporary applications and gain insights into the challenges and opportunities that lie ahead in the field of graph learning.

This part has the following chapters:

Chapter 11, Emerging Applications
Chapter 12, The Future of Graph Learning

The rest of the chapter is locked

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Authors (2)

Lakshya Khandelwal

Lakshya Khandelwal

Lakshya is currently leading several Natural Language, forecasting and recommendation system initiatives in Walmart, building next generation AI products for Millions of customers. Lakshya holds a Bachelors and Masters degree from IIT Kanpur in Mathematics and Computer Science and has 8+ years of experience in building Scalable Machine Learning Products for multiple Tech Giants. Before joining Walmart, Lakshya worked as a Data Scientist with Adobe, building Search Bid optimization solutions as part of the advertising cloud suite with major enterprises across the globe as customers. Prior to Adobe, he worked as a Lead ML Engineer with Samsung building Natural Language intelligence for the very first version of Bixby used by millions of users daily.

See other products by Lakshya Khandelwal

Subhajoy Das

Subhajoy Das

Subhajoy is a Staff Data Scientist with seven years of experience under his belt. He graduated from IIT Kharagpur with a Bachelors and Masters degree in Mathematics and Computing. Since then, he has worked in organizations at varying stages of growth: from fast growing e-commerce startups like Meesho to behemoths like Adobe. He has drivennseveral pivotal features in every company he has worked in, like building an end-to-end recommendation system for the Meesho app, curating interesting advertising using Reinforcement Learning based optimizations in Adobe Advertising. He is currently working at Arista Networks, building AI driven apps responsible for cybersecurity of several Fortune 500 companies.

See other products by Subhajoy Das

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