Graphene – Bücher, CDs, LPs und mehr, Seite 3

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…

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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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Volker Diekert, Manfred Kufleitner, Gerhard Rosenberger, Ulrich Hertrampf
Elemente der diskreten Mathematik

De Gruyter Studium

Das Lehrbuch beschäftigt sich mit den Elementen der Diskreten Mathematik und deren algebraischen Grundlagen, die relevante Anwendungen in der Informatik haben. Notwendige Hilfsmittel werden behandelt, um …

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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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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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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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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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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…

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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
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…

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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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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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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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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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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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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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