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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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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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T. Asir, M. Evangeline Prathibha, B. Surendranath Reddy
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 in mind. 4 Wochen

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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…

lieferbar in mind. 4 Wochen

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Graphene and 2D Materials in Heat Transfer: Fundamentals and Applications

Heat transfer is a major engineering challenge that has implications in several areas including space, energy, transportation, manufacturing, and medicine. Graphene and other 2D materials have outstanding…

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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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Pramod Singh Rathore, Abhishek Kumar, Priya Batta, Inam Ul Haq
Practical Graph Intelligence 1

Practical Graph Intelligence 1 is positioned at the intersection of graph theory, network science and applied computing, offering a structured pathway for understanding and implementing graph-based soluti…

lieferbar ab 26.10.2026.

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Pramod Singh Rathore, Abhishek Kumar, Priya Batta, Inam Ul Haq
Practical Graph Intelligence 2

Practical Graph Intelligence 2 delivers a comprehensive and application driven exploration of graph-based methods for understanding complex, interconnected data.This book bridges theory and practice by pr…

lieferbar ab 26.10.2026.

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

Latin American Mathematics Series

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 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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Buch

Heiko Dietrich, Bettina Eick
Coclass graphs of p-groups

Springer Monographs in Mathematics

Coclass is a powerful invariant that reveals patterns in the intricate landscape of finite p-groups. This monograph offers a gentle introduction to coclass theory, presenting key developments from the pas…

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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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Graph Theory for 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…

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Vertex-Frequency Analysis of Graph Signals

Signals and Communication Technology

This book introduces new methods to analyze vertex-varying graph signals. In many real-world scenarios, the data-sensing domain is not a regular grid, but a more complex network that consists of sensing p…

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Knowledge Graphs and Semantic Computing

This book constitutes the proceedings of the 10th China Conference on Knowledge Graph and Semantic Computing, CCKS 2025, held in Fuzhou, China, during September 19--21, 2025.The 22 full papers presented i…

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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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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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Knowledge Graphs and Semantic Web

Lecture Notes in Computer Science - Band 16373

This book constitutes the refereed proceedings of the 7th International Conference on Knowledge Graphs and Semantic Web, KGSWC 2025, held in Leipzig, Germany, during November 26--28, 2025.The 18 full pape…

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