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Graph Prompting: Unlocking the Power of Graph Neural Networks and Prompt Engineering for Advanced AI Applications
Language: en
Pages: 97
Authors: Anand Vemula
Categories: Computers
Type: BOOK - Published: - Publisher: Anand Vemula

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"Graph Prompting" explores the intersection of Graph Neural Networks (GNNs) and prompt engineering, providing a comprehensive guide on leveraging these technolo
Advances in Graph Neural Networks
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Pages: 207
Authors: Chuan Shi
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Type: BOOK - Published: 2022-11-16 - Publisher: Springer Nature

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This book provides a comprehensive introduction to the foundations and frontiers of graph neural networks. In addition, the book introduces the basic concepts a
Graph Representation Learning
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Authors: William L. William L. Hamilton
Categories: Computers
Type: BOOK - Published: 2022-06-01 - Publisher: Springer Nature

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Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational induct
Responsible Graph Neural Networks
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Authors: Mohamed Abdel-Basset
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Type: BOOK - Published: 2023-06-05 - Publisher: CRC Press

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More frequent and complex cyber threats require robust, automated, and rapid responses from cyber-security specialists. This book offers a complete study in the
Graph Machine Learning
Language: en
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Authors: Claudio Stamile
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Type: BOOK - Published: 2021-06-25 - Publisher: Packt Publishing Ltd

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Build machine learning algorithms using graph data and efficiently exploit topological information within your models Key Features Implement machine learning te