Graphen – Bücher, LPs, CDs und mehr, Seite 2

Zhigao Zheng
Accelerating Graph Algorithms

Graph processing involves the manipulation, analysis, and traversal of graph data structures. Graphs consist of vertices/nodes connected by edges/links, representing relationships between entities. Graph …

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Buch

Maurice Clerc
Graph Coloring

This book explores the problem of minimal valid graph coloring, first in the form of games and then of resolution algorithms. Emphasis is placed on deterministic, guaranteed and non-guaranteed methods. St…

lieferbar in mind. 4 Wochen

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Zden¿k Dvo¿ák
Graph Minors

Springer Monographs in Mathematics

Graph minor theory is one of the most influential and well-developed areas of graph theory, yet its key results, particularly the work of Robertson and Seymour, have remained scattered across numerous tec…

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Kinkar Chandra Das, Sovan Samanta
Graph Theory

Graph theory is a rapidly evolving and expanding mathematical discipline, with new discoveries, challenges, and techniques emerging every year. Graph Theory: Fundamentals and Applications provides a fully…

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Graph Transformation

Lecture Notes in Computer Science - Band 16624

This book constitutes the refereed proceedings of the 19th International Conference on Graph Transformation, ICGT 2026, held in Rennes, France, during July 1--2, 2026.The 9 full papers and 4 short papers …

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K. Erciyes
Guide to Graph Algorithms

Texts in Computer Science

This clearly structured textbook/reference presents a detailed and comprehensive review of the fundamental principles of sequential graph algorithms, approaches for NP-hard graph problems, approximation a…

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Bela Bollobas, Robert Morris
Basic Graph Theory

Over the past few decades, graph theory has developed into one of the central areas of modern mathematics, with close (and growing) connections to areas of pure mathematics such as number theory, probabil…

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Graph Mining

Synthesis Lectures on Computer Science

This book provides a thorough introduction to graph mining and addresses foundational concepts and advanced techniques along with practical applications across various fields. As graphs have become increa…

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Generative AI, Large Language Models, Graph Neural Networks and Knowledge Graphs Applications

Artificial Intelligence Applications in Healthcare and Medicine

Generative AI, Large Language Models, Graph Neural Networks, and Knowledge Graphs Applications provides a comprehensive exploration of the transformative technologies reshaping artificial intelligence. Th…

lieferbar in mind. 4 Wochen

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Bela Bollobas, Robert Morris
Basic Graph Theory

Over the past few decades, graph theory has developed into one of the central areas of modern mathematics, with close (and growing) connections to areas of pure mathematics such as number theory, probabil…

lieferbar innerhalb 2-3 Wochen

Buch

Zoran Stani¿
Spectra of Signed Graphs

This monograph extends the classical spectral theory of ordinary graphs to the broader framework of signed graphs. It integrates foundational results with recent advances, explores applications, and clari…

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Kiyan Naderi, Konstantin Pankrashkin
Introduction to Spectral Graph Theory

Compact Textbooks in Mathematics

This book offers an introduction to key topics in spectral graph theory. In spectral graph theory, various properties of graphs are studied using methods from linear algebra, particularly through the eige…

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Knowledge Graphs

Lecture Notes in Computer Science - Band 16297

This book constitutes the refereed proceedings of the 14th International Joint Conference on Knowledge Graphs, IJCKG 2025, held in Heraklion, Crete, Greece, during October 15--17, 2025.The 28 full papers …

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Ahmed Menshawy, Sameh Mohamed, Maraim Rizk Masoud
Scaling Graph Learning for the Enterprise

Tackle the core challenges related to enterprise-ready graph representation and learning. With this hands-on guide, applied data scientists, machine learning engineers, and practitioners will learn how to…

lieferbar innerhalb 1-2 Wochen

Buch

Kewei Cheng, Yizhou Sun
Knowledge Graph Reasoning

Synthesis Lectures on Data, Semantics, and Knowledge

This book provides a coherent and unifying view for logic and representation learning to contribute to knowledge graph (KG) reasoning and produce better computational tools for integrating both worlds. To…

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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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B. Surendranath Reddy, M. Evangeline Prathibha, T. Asir
Essential Graph Theory

Designed for undergraduate students of computer science, mathematics, and engineering, this book provides the tools and understanding needed to master graph theory and algorithms. It offers a strong theor…

lieferbar ab 31.8.2026.

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Peter J. Cameron, Aparna Lakshmanan S., Ambat Vijayakumar
The Shrikhande Graph

The Shrikhande graph, discovered by Indian Mathematician Sharadchandra Shankar Shrikhande in 1959, exhibits several unusual properties and occupies a pivotal position within discrete mathematics. Offering…

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Peter J. Cameron, Aparna Lakshmanan S., Ambat Vijayakumar
The Shrikhande Graph

The Shrikhande graph, discovered by Indian Mathematician Sharadchandra Shankar Shrikhande in 1959, exhibits several unusual properties and occupies a pivotal position within discrete mathematics. Offering…

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Graph Neural Network Training

Machine Learning: Foundations, Methodologies, and Applications

Graph Neural Networks (GNNs) have revolutionized the way we learn representations from graph-structured data, becoming a cornerstone for applications in social networks, recommendation systems, biology, a…

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