Practical Graph Intelligence 2 : Network Algorithms and Python in Practice

Priya Batta

ISBN 10: 1836691629 / ISBN 13: 9781836691624

Published by Wiley Okt 2026, 2026

About this Item

Neuware - Practical Graph Intelligence 2 delivers a comprehensive and application driven exploration of graph-based methods for understanding complex, interconnected data. This book bridges theory and practice by presenting advanced techniques in graph theory, graph neural networks and network analytics, with a strong focus on real-world implementation. It addresses critical challenges such as scalability, interpretability and dynamic data handling while showcasing applications across healthcare, cybersecurity, social networks and smart systems. Designed for researchers, practitioners and advanced students, this book highlights emerging trends and practical frameworks that enable efficient, data-driven decision-making. By integrating cutting-edge research with hands-on perspectives, it serves as a valuable resource for developing robust and intelligent graph-based solutions in today's data intensive environments.

Seller Inventory # 9781836691624

Bibliographic Details

• Title: Practical Graph Intelligence 2 : Network Algorithms and Python in Practice
• Publisher: Wiley Okt 2026
• Publication Date: 2026
• Language: English
• ISBN 10: 1836691629
• ISBN 13: 9781836691624
• Binding: Buch
• Condition: Neu
• Dimensions: 235W x 156H x 21D millimeters 235 millimeters width by 156 millimeters height by 21 millimeters depth
• Weight: 588 grams

About this title

Synopsis

Practical Graph Intelligence 2 delivers a comprehensive and application driven exploration of graph-based methods for understanding complex, interconnected data.

This book bridges theory and practice by presenting advanced techniques in graph theory, graph neural networks and network analytics, with a strong focus on real-world implementation. It addresses critical challenges such as scalability, interpretability and dynamic data handling while showcasing applications across healthcare, cybersecurity, social networks and smart systems.

Designed for researchers, practitioners and advanced students, this book highlights emerging trends and practical frameworks that enable efficient, data-driven decision-making. By integrating cutting-edge research with hands-on perspectives, it serves as a valuable resource for developing robust and intelligent graph-based solutions in today’s data intensive environments.

About the Author

Pramod Singh Rathore is an Assistant Professor at Manipal University Jaipur, India. His expertise includes NS2, networks, data mining and DBMS.

Abhishek Kumar is a Professor at Chandigarh University, India. His expertise includes AI, renewable energy and image processing.

Priya Batta is an Associate Professor at Amity School of Engineering and Technology, Amity University Punjab, Mohali, India. Her expertise includes AI, blockchain and IoT.

Inam Ul Haq is an Assistant Professor at the School of Engineering and Technology (SET), CGC University Mohali, Punjab, India. His expertise includes AI, machine learning and quantum computing.