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Graph Theory in Computer Science

This book is a vital resource for anyone looking to understand the essential role of graph theory as the unifying thread that connects and provides innovative solutions across a wide spectrum of modern co…

lieferbar ab 5.5.2026.

Buch

Yuzhuo Li, Yunwei Ryan Li
Graph Theory in Power Converters

Understand the theory behind an area of rapid engineering innovationThe field of power electronics has been rapidly transformed in recent decades by astonishing advances in power converter network techniq…

lieferbar ab 28.4.2026.

Buch

Knowledge Graphs and Semantic Web

This book constitutes the refereed proceedings of the 6th International Conference on Knowledge Graphs and Semantic Web, KGSWC 2024, held in Paris, France, during December 11-13, 2024.The 22 full papers a…

lieferbar innerhalb 2-3 Wochen

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Graphs in Biomedical Image Analysis

This book constitutes the refereed proceedings of the 6th International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2024, held in conjunction with MICCAI 2024, in Marrakesh, Morocco, on October…

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Alessandro Negro, Vlastimil Kus, Giuseppe Futia, Fabio Montagna
Knowledge Graphs and Llms in Action

Combine knowledge graphs with large language models to deliver powerful, reliable, and explainable AI solutions.Knowledge graphs model relationships between the objects, events, situations, and concepts i…

lieferbar innerhalb 1-2 Wochen

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Combinatorics, Graph Theory and Computing

This proceedings volume compiles selected, revised papers presented at the 54th Southeastern International Conference on Combinatorics, Graph Theory, and Computing (SEICCGTC 2023), which took place at Flo…

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Peter J. Cameron, J. H. Van Lint
Designs, Graphs, Codes, and Their Links

The three subjects of this book all began life in the provinces of applicable mathematics. Design theory originated in statistics (its name reflects its initial use, in experimental design); codes in info…

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Monia Lupparelli, Giovanni Maria Marchetti, Claudia Tarantola
Regression Graph Models for Categorical Data

This book consolidates knowledge on regression chain graph models, often referred to as regression graph models, with a particular emphasis on their parameterizations and inference for the analysis of cat…

lieferbar innerhalb 2-3 Wochen

Buch

Fan Liu, Liqiang Nie
Advancing Recommender Systems with Graph Convolutional Networks

Preface.- 1) Introduction.- 2) Interest-aware Message-Passing Graph Convolutional Network.- 3) Cluster-based Graph Collaborative Filtering.- 4) Semantic Aspect-aware Graph Convolutional Network.- 5) Attri…

lieferbar innerhalb 2-3 Wochen

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Jeremy Budd, Yves van Gennip
Differential Equations and Variational Methods on Graphs

The burgeoning field of differential equations on graphs has experienced significant growth in the past decade, propelled by the use of variational methods in imaging and by its applications in machine le…

lieferbar ab 30.4.2026.

Buch

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 (…

lieferbar innerhalb 2-3 Wochen

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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…

lieferbar innerhalb 2-3 Wochen

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Discrete and Computational Geometry, Graphs, and Games

This book, LNCS 14364, constitutes the refereed proceedings of the 24th Japanese Conference on Discrete and Computational Geometry and Graphs, JCDCGGG 2022, held virtually during September 9-11, 2022.The …

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Model Theory, Computer Science, and Graph Polynomials

Part I: Personal Notes.- My writing.- Some personal remarks about Johann A. Makowsky.- The Swiss Connection.- From a Friend and Publisher.- From graph polynomials to the software industry Lessons from Jan…

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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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Harnessing Artificial Intelligence-Enhanced Graph Models for Biological Discovery

Harnessing Artificial Intelligence-Enhanced Graph Models for Biological Discovery: Unveiling Biological Frontiers introduces revolutionary techniques that merge artificial intelligence with graph-based me…

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Yves van Gennip, Jeremy Budd
A Prolegomenon to Differential Equations and Variational Methods on Graphs

A bird's eye view of theoretical developments and concrete applications that will enable newcomers to get a flavour of key results. Provides an exhaustive, at the time of writing, bibliography which will …

lieferbar innerhalb 2-3 Wochen

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Yves van Gennip, Jeremy Budd
A Prolegomenon to Differential Equations and Variational Methods on Graphs

A bird's eye view of theoretical developments and concrete applications that will enable newcomers to get a flavour of key results. Provides an exhaustive, at the time of writing, bibliography which will …

lieferbar innerhalb 2-3 Wochen

Buch

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.

Buch

Eberhard Triesch
Diskrete Mathematik

Dieses Lehrbuch führt auf prägnante und nachvollziehbare Art in die Abzähl- und Existenzprobleme der diskreten Mathematik ein. Es wendet sich an Studierende der Mathematik, der Informatik und benachbarter…

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