Graphene-BasedQuantumSystems – Bücher, CDs, LPs und mehr, Seite 2

Zden¿k Dvo¿ák
Graph Minors

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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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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Pavol Hell, Jaroslav Neset¿il
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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Pavol Hell, Jaroslav Neset¿il
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…

lieferbar in mind. 4 Wochen

Buch

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

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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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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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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Virat Khanna, Chander Prakash
Graphene for Electrochemical Energy Storage

Lecture Notes in Nanoscale Science and Technology - Band 24

This book is a comprehensive overview of the latest developments in the field of graphene-based electrochemical energy storage devices. Graphene is considered one of the most promising materials for devel…

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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 31.7.2026.

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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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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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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 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…

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