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Graph Transformation

Lecture Notes in Computer Science - Band 15720

This book constitutes the refereed proceedings of the 18th International Conference on Graph Transformation, ICGT 2025, held in Koblenz, Germany, during June 11-12, 2025. The 10 full papers and 1 short pa…

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Games on Graphs

This volume introduces the fundamental results and the state of the art in infinite duration games on graphs. These versatile game models first appeared in the study of automata and logic, but later becam…

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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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Richard Durrett
Dynamics on Graphs

Probability Theory and Stochastic Modelling

This book is an extensive revision of the 2007 book Random Graph Dynamics. In contrast to the first edition, the new version considers a small number of types of graphs, primarily the configuration model …

lieferbar ab 1.8.2026.

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Pavol Hell, Jaroslav Neset%ril
Graphs and Homomorphisms

Graph theory and especially the study of graph homomorphisms has developed exponentially in the last couple of decades. Originally based on the authors' graduate course lecture notes, this is still the on…

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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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Priyanka Mahajan, Virat Khanna
Graphene in the Environment

Environmental Science and Engineering

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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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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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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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…

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Jaroslav Neset^D%ril, Pavol Hell
Graphs and Homomorphisms

Oxford Graduate Texts in Mathematics

Graph theory and especially the study of graph homomorphisms has developed exponentially in the last couple of decades. Originally based on the authors' graduate course lecture notes, this is still the on…

lieferbar in mind. 4 Wochen

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

London Mathematical Society Student Texts

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…

lieferbar ab 2.7.2026.

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

London Mathematical Society Student Texts

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…

lieferbar ab 2.7.2026.

Buch

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 30.6.2026.

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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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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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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…

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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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Graph Games and Logic Design

Trends in Logic - Band 66

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…

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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…

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