Graphs-GraphNeuralNetworks – Bücher, CDs, LPs und mehr, Seite 3

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…

lieferbar in mind. 4 Wochen

Buch

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 …

lieferbar innerhalb 2-3 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…

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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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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…

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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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.

Buch

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…

lieferbar innerhalb 2-3 Wochen

Buch

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…

lieferbar innerhalb 2-3 Wochen

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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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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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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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Xin Tang, Jindong Zhang, Yuyang Zhang
Psychological Network Analyses and Directed Acyclic Graphs Tutorial for Developmental and Educational Science

Psychological network analysis (PNA) has emerged as a powerful tool for understanding the complex interplay of constructs in developmental and educational sciences. Unlike traditional models that assume r…

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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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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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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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Combinatorics, Graph Theory and Computing

Springer Proceedings in Mathematics & Statistics

This proceedings volume compiles selected, revised papers presented at the 55th Southeastern International Conference on Combinatorics, Graph Theory, and Computing (SEICCGTC 2024), which took place at Flo…

lieferbar ab 15.8.2026.

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