Graph-basedanalysis – Bücher, CDs, LPs und mehr, Seite 2

Reinhard Diestel
Graph Theory

Graduate Texts in Mathematics - Band 173

This standard textbook on modern graph theory combines the authority of a classic with the engaging freshness of style that is the hallmark of active mathematics. It covers the core material of the subjec…

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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 Transformation

Lecture Notes in Computer Science - Band 16624

This book constitutes the refereed proceedings of the 19th International Conference on Graph Transformation, ICGT 2026, held in Rennes, France, during July 1--2, 2026.The 9 full papers and 4 short papers …

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Maurice Clerc
Graph Coloring

This book explores the problem of minimal valid graph coloring, first in the form of games and then of resolution algorithms. Emphasis is placed on deterministic, guaranteed and non-guaranteed methods. St…

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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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Graph Neural Networks

Master the power of relational AI with this comprehensive guide, designed to seamlessly bridge the gap between foundational graph theory and the practical deployment of highly efficient, domain-aware Grap…

lieferbar ab 24.11.2026.

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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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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

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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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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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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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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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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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Anna Weller
Numerical Methods for Metric Graphs

Lecture Notes in Mathematics - Band 2382

This book discusses the fundamentals of the numerics of parabolic partial differential equations posed on network structures interpreted as metric spaces. These so-called metric graphs frequently occur in…

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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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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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Suprakas Sinha Ray, Jonathan Tersur Orasugh, Lesego Tabea Temane
Graphene-Based Materials as Adsorbents for Wastewater Decontamination

This book aims to provide a fundamental grasp of graphene-based materials (GAMs) and their adsorption process. The effect of diverse process parameters, including pH, temperature, agitation, competing ion…

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Knowledge Graphs and Large Language Models

Intelligent Data-Centric Systems

Knowledge Graphs and Large Language Models: Current Approaches, Challenges, and Future Directions explores the cutting-edge fusion of two powerful artificial intelligence technologies: Large Language Mode…

lieferbar ab 1.9.2026.

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Graphene-Based Photocatalysts for Hydrogen Production and Environmental Remediation

Advanced Structured Materials - Band 219

This book delves into the cutting-edge applications of graphene-based photocatalysts, unveiling their immense potential in addressing two critical global challenges: sustainable hydrogen production and en…

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