Graph-basedlearning – Bücher, CDs, LPs und mehr, Seite 3

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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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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Graph Games and Logic Design

Trends in Logic

This book presents established and new research on the close connections between graph games and systems of logic, particularly existing and newly designed modal logics. The volume utilizes two graph game…

lieferbar ab 3.4.2026.

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Combinatorics, Graph Theory and Computing

Springer Proceedings in Mathematics & Statistics - Band 462

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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Tassilo Weller
Die Macht der Ambivalenz

Die blaue Stunde der Informatik

Beim Umgang mit persönlichem Wissen stellt sich die Frage, wie Gedanken und persönliche Zusammenhänge mit Hilfe von Medien langfristig abgelegt, wiederverwendet, kommuniziert und maschinell weiterverarbei…

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

Cambridge Studies in Advanced Mathematics

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…

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Combinatorics, Graph Theory and Computing

Springer Proceedings in Mathematics & Statistics - Band 489

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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Lihui Liu, Hanghang Tong
Neural Symbolic Knowledge Graph Reasoning

Synthesis Lectures on Computer Science

This book explores various aspects of knowledge graph reasoning to solve different tasks, encompassing first, traditional symbolic methods for knowledge graph reasoning; second, recent developments in neu…

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Walter Strampp
Diskrete Mathematik

De Gruyter Studium

Rundenspiele bilden ein faszinierendes Gebiet der Diskreten Mathematik, dem viel zu wenig Beachtung geschenkt wird. Wir behandeln Grundgebiete der diskreten Mathematik und stellen damit alle Hilfsmittel b…

lieferbar ab 24.8.2026.

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Combinatorics, Graph Theory and Computing

Springer Proceedings in Mathematics & Statistics

This proceedings volume compiles selected, revised papers presented at the 55th Southeastern International Conference on Combinatorics, Graph Theory, and Computing (SEICCGTC 2024), which took place at Flo…

lieferbar ab 12.4.2026.

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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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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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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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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…

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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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Model Theory, Computer Science, and Graph Polynomials

Trends in Mathematics

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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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…

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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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