Graphene – Bücher, CDs, LPs und mehr, Seite 3

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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Júlio Araújo, Mitre C. Dourado, Fábio Protti, Rudini M. Sampaio
Introduction to Graph Convexity

This book focuses on the computational aspects of graph convexity, with a particular emphasis on path convexity within graphs. It provides a thoughtful introduction to this emerging research field, which …

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Jeremy Kubica
Graph Algorithms the Fun Way

Enter the wonderful world of graph algorithms, where you'll learn when and how to apply these highly useful data structures to solve a wide range of fascinating (and fantastical) computational problems.Gr…

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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.

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Dhruv Mubayi, Jacques A. Verstraete
Extremal Graph and Hypergraph Theory

Providing a cohesive reference for advanced undergraduates, graduate students and even experienced researchers, this text contains both introductory and advanced material in extremal graph theory, hypergr…

lieferbar ab 28.2.2026.

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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.

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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…

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Combinatorics, Graph Theory and Computing

This proceedings volume compiles selected, revised papers presented at the 53rd SouthEastern International Conference on Combinatorics, Graph Theory, and Computing (SEICCGTC 2022), which took place at Flo…

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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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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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R. Rama
Topics in Combinatorics and Graph Theory

The book covers all the basics of both the topics. The topics are sequenced in such a manner that there is a flow in understanding the advances. The first and second chapters cover all the basic methods a…

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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 ab 18.11.2025.

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Hermann Kautschitsch, Gert Kadunz
Elemente der Codierungstheorie

Im täglichen Leben sind wir zunehmend von Codes umgeben, die mathematisch konstruiert werden. Sie sind teils leicht erkennbar (Strichcode, ISBN, IBAN, QR) und teils eher verborgen (GPS, WLAN, CD, DVD). In…

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

This book systematically examines scalability and effectiveness challenges related to the application of graph convolutional networks (GCNs) in recommender systems. By effectively modeling graph structure…

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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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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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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 31.3.2026.

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Graph Convolutional Neural Networks for Computer Vision

In the last decade, computer vision has become a major focus for addressing the world's growing processing needs. Many existing deep learning architectures for computer vision challenges are based on conv…

Erscheint bald

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Saurabh Kumar Srivastav
Quantized Heat Flow as a Probe of Thermal Equilibration and Edge Structures of Quantum Hall Phases in Graphene

This book describes the quantized thermal conductance measurements of integer and several fractional quantum Hall (QH) states realized in graphene devices. Although the electrical conductance quantization…

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