Graph Neural Networks – alle Bücher

Keita Broadwater, Namid Stillman
Graph Neural Networks in Action

About the bookIn Graph Neural Networks in Action you will create deep learning models that are perfect for working with interconnected graph data. Start with a comprehensive introduction to graph data's u…

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Graph Neural Networks for Neurological Disorders

This book represents a unique and comprehensive resource for understanding the intersection of advanced artificial intelligence (AI) and neurology. By focusing on graph neural networks (GNNs), the book ad…

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Graph Neural Networks: Essentials and Use Cases

Chapter 1 Applications of Graph Neural Networks in Computer Vision: Transforming Perception Through Structure.- Chapter 2 Large-Scale Learnable Graph Convolutional Networks (LGCNs) Graph Neural Networks (…

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Graph Convolutional Neural Networks for Computer Vision

Revolutionize your machine learning practice with this essential book that provides expert insights into leveraging Graph Convolutional Networks (GCNNs) to overcome the limitations of traditional CNNs.In …

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E Chandra Blessie, Pethuru Raj Chelliah, B. Sundaravadivazhagan
A Complete Guide to Graph Representation Learning with Case Studies

Comprehensive resource on graph representation learning (GRL), exploring fundamental principles, advanced methodologies, and case studiesA Complete Guide to Graph Representation Learning with Case Studies…

lieferbar ab 31.3.2026.

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Graph-Based Representations in Pattern Recognition

.- Cybersecurity based on Graph models..- A Modular Triple Exchange Co-learning Framework for Anomaly Detection in Scarcely Labeled Graph Data..- Advanced Malware Detection in Code Repositories Using Grap…

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Yao Ma, Jiliang Tang
Deep Learning on Graphs

A comprehensive text on foundations and techniques of graph neural networks with applications in NLP, data mining, vision and healthcare.

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Rohit Kumar
Fundamentals of Cost-Efficient AI

Fundamentals of Cost-Efficient AI: In Healthcare and Biomedicine provides a comprehensive yet accessible introduction to the principles of designing, training, and deploying efficient artificial intellige…

lieferbar in mind. 4 Wochen

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Computational Biomechanics for Medicine

Validation of 4D ultrasound strain imaging of the aortic wall.- Reliable computational fluid dynamics for ground truth generation for AI-based blood flow analysis.- The comparison of 2D and 3D based model…

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Giovanni Volpe, Benjamin Midtvedt, Jesús Pineda, Henrik Klein Moberg
Deep Learning Crash Course

A complete guide to deep neural networks -- the technology behind AI -- covering fundamental and advanced techniques to apply machine learning in real-world scenarios.Deep Learning Crash Course goes beyon…

lieferbar ab 6.1.2026.

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Quan Shi, Yinxin Bao, Ruifeng Gao, Zhenquan Shi
Connected Vehicles Traffic Prediction

This book delves into the problems and challenges faced in achieving improved performance in connected vehicles traffic flow prediction in intelligent connected transportation systems and provides an in-d…

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Discovery Science

The two-volume set LNAI 15243 + 15244 constitutes the proceedings of the 27th International Conference on Discovery Science, DS 2024, which took place in Pisa, Italy, during October 14-16, 2024.The 53 ful…

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Discovery Science

The two-volume set LNAI 15243 + 15244 constitutes the proceedings of the 27th International Conference on Discovery Science, DS 2024, which took place in Pisa, Italy, during October 14-16, 2024.The 53 ful…

lieferbar innerhalb 2-3 Wochen

Buch

Agents and Artificial Intelligence

.- Artificial Intelligence..- Deep Neural Networks for Early Human Embryo Stages Detection in Time Lapse Sequences..- Prompt. Exploit. Repeat: Automating Network Security Testing with LLMs..- Combining Mo…

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