Graph Neural Network Training (Hardcover)

Language: English

Published by Springer Verlag, Singapore, Singapore, 2026

9819557941 / 9789819557943

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Hardcover. Graph Neural Networks (GNNs) have revolutionized the way we learn representations from graph-structured data, becoming a cornerstone for applications in social networks, recommendation systems, biology, and beyond. However, mainstream GNNs rely heavily on message passing, an iterative process of propagating information between connected nodes. While powerful, this method often incurs significant computational costs, making efficient training a growing challenge as graph sizes scale up.This book addresses these challenges by offering a comprehensive exploration of efficient GNN training through the lens of data management. It highlights how innovative techniques, rooted in decades of graph processing research, can optimize the entire training process without compromising performance. By focusing on system-level enhancements and practical solutions, it provides actionable strategies to overcome efficiency bottlenecks in large-scale GNN training.Readers will gain a deeper understanding of the graph data lifecycle in GNN training, with examples that demonstrate how data management techniques can significantly enhance scalability and performance. The book is designed for a broad audience, including students, researchers, and professionals, offering clear explanations and practical insights for anyone looking to master efficient GNN training. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Seller Inventory # 9789819557943

Title
Graph Neural Network Training (Hardcover)
Author
Yanyan Shen
Publisher
Springer Verlag, Singapore, Singapore
Publication year
2026
Condition
new
Binding
Hardcover
Language
English
ISBN 10
9819557941
ISBN 13
9789819557943

CitiRetail

Stevenage, United Kingdom

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AbeBooks seller since June 29, 2022

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