Graph-basedlearning – 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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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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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 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 28.2.2026.

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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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Vitali Schuk
Neues verkehrswissenschaftliches Journal NVJ - Ausgabe 34

Die vorliegende Arbeit beschäftigt sich mit der Entwicklung eines neuen Ansatzes zur strukturierten Speicherung und Vernetzung von explizitem Ingenieurwissen aus dem Bereich des Infrastrukturbaus. Ziel is…

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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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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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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…

lieferbar ab 29.10.2025.

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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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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…

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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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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 …

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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 …

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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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Reconstruction and Imaging Motion Estimation, and Graphs in Biomedical Image Analysis

Lecture Notes in Computer Science - Band 16150

This book constitutes the refereed proceedings of the 7th International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2025, and the First Workshop on Reconstruction and Imaging Motion Estimation,…

lieferbar ab 7.11.2025.

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Werner Schindler, Susanne Schindler-Tschirner
Mathematische Geschichten für begabte Grundschülerinnen und Grundschüler

Entdecken und fördern Sie mit diesem inspirierenden und praxisnahen Buch das Potenzial mathematisch begabter Grundschülerinnen und Grundschüler in der 3. und 4. Klasse! Sorgfältig ausgearbeitete, größtent…

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Lei Zhu, Jingjing Li, Zheng Zhang
Dynamic Graph Learning for Dimension Reduction and Data Clustering

This book illustrates how to achieve effective dimension reduction and data clustering. The authors explain how to accomplish this by utilizing the advanced dynamic graph learning technique in the era of …

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Vasco Trilla - A Constellation of Anomaly

Vasco Trilla (Percussion)

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CD

Virat Khanna, Priyanka Mahajan
Graphene in the Environment

This book explores the use of graphene in heavy metal cleanup. The introductory chapter contains enough information for understanding graphene, including its synthesis, characterisation, and amazing mecha…

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