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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…

lieferbar innerhalb 2-3 Wochen

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Yuzhuo Li, Yunwei Ryan Li
Graph Theory in Power Converters

Understand the theory behind an area of rapid engineering innovationThe field of power electronics has been rapidly transformed in recent decades by astonishing advances in power converter network techniq…

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Camus
Unlocking Potential: How Graphene Can Enhance Existing Technologies

Some of the materials that can greatly benefit significantly from the unique properties of graphene include gold, silver, and the organic-inorganic hybrid perovskites. Revered for its biocompatibility and…

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Eberhard Triesch
Diskrete Mathematik

Dieses Lehrbuch führt auf prägnante und nachvollziehbare Art in die Abzähl- und Existenzprobleme der diskreten Mathematik ein. Es wendet sich an Studierende der Mathematik, der Informatik und benachbarter…

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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…

lieferbar ab 1.9.2026.

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Graph Neural Networks: Essentials and Use Cases

Chapter 1 Applications of Graph Neural Networks in Computer Vision: Transforming Perception Through Structure.- Chapter 2 Large-Scale Learnable Graph Convolutional Networks (LGCNs) Graph Neural Networks (…

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Graph Neural Networks for Neurological Disorders

This book represents a unique and comprehensive resource for understanding the intersection of advanced artificial intelligence (AI) and neurology. By focusing on graph neural networks (GNNs), the book ad…

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Tomaz Bratanic, Oskar Hane
Essential Graphrag

Upgrade your RAG applications with the power of knowledge graphs.Retrieval Augmented Generation (RAG) is a great way to harness the power of generative AI for information not contained in a LLM's training…

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Monia Lupparelli, Giovanni Maria Marchetti, Claudia Tarantola
Regression Graph Models for Categorical Data

This book consolidates knowledge on regression chain graph models, often referred to as regression graph models, with a particular emphasis on their parameterizations and inference for the analysis of cat…

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Alessandro Negro, Vlastimil Kus, Giuseppe Futia, Fabio Montagna
Knowledge Graphs and Llms in Action

Combine knowledge graphs with large language models to deliver powerful, reliable, and explainable AI solutions.Knowledge graphs model relationships between the objects, events, situations, and concepts i…

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Model Theory, Computer Science, and Graph Polynomials

Part I: Personal Notes.- My writing.- Some personal remarks about Johann A. Makowsky.- The Swiss Connection.- From a Friend and Publisher.- From graph polynomials to the software industry Lessons from Jan…

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Fan Liu, Liqiang Nie
Advancing Recommender Systems with Graph Convolutional Networks

Preface.- 1) Introduction.- 2) Interest-aware Message-Passing Graph Convolutional Network.- 3) Cluster-based Graph Collaborative Filtering.- 4) Semantic Aspect-aware Graph Convolutional Network.- 5) Attri…

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Discrete and Computational Geometry, Graphs, and Games

This book, LNCS 14364, constitutes the refereed proceedings of the 24th Japanese Conference on Discrete and Computational Geometry and Graphs, JCDCGGG 2022, held virtually during September 9-11, 2022.The …

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Jeremy Budd, Yves van Gennip
Differential Equations and Variational Methods on Graphs

The burgeoning field of differential equations on graphs has experienced significant growth in the past decade, propelled by the use of variational methods in imaging and by its applications in machine le…

lieferbar ab 30.4.2026.

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Graph Convolutional Neural Networks for Computer Vision

Revolutionize your machine learning practice with this essential book that provides expert insights into leveraging Graph Convolutional Networks (GCNNs) to overcome the limitations of traditional CNNs.In …

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Fangyan Sun
Synthesis and Device Applications of Graphene Derivatives and Quantum Dots

The book explores the synthesis methods and device applications of graphene derivatives and quantum dots. The book offers a detailed overview of the synthesis techniques used for these advanced nanomateri…

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Harnessing Artificial Intelligence-Enhanced Graph Models for Biological Discovery

Harnessing Artificial Intelligence-Enhanced Graph Models for Biological Discovery: Unveiling Biological Frontiers introduces revolutionary techniques that merge artificial intelligence with graph-based me…

lieferbar in mind. 4 Wochen

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Tassilo Weller
Die Macht der Ambivalenz

.- Einleitung.- Der reziprok-ambivalente Aspekt des menschlichen Denkens.- Medien.- Die Potentiale eines möglichen reziprok-ambivalenten Mediums.- Personal Knowledge Graph (PKG).- Der Zettelkasten von Nik…

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Susanne Schindler-Tschirner, Werner Schindler
Mathematische Geschichten für begabte Grundschülerinnen und Grundschüler

.- 1 Einführung..- 2 Wie alles began..- 3 Musterlösung zu Kapitel 2..- Teil I Aufgaben..- 4 Bunte Mathematik..- 5 Schon wieder Aufgaben ohne Lösung..- 6 Gefährliches Spiel gegen einen Drachen..- 7 Revanch…

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E Chandra Blessie, Pethuru Raj Chelliah, B. Sundaravadivazhagan
A Complete Guide to Graph Representation Learning with Case Studies

Comprehensive resource on graph representation learning (GRL), exploring fundamental principles, advanced methodologies, and case studiesA Complete Guide to Graph Representation Learning with Case Studies…

lieferbar ab 3.8.2026.

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