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

Knowledge Graphs and Semantic Web

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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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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Graphs in Biomedical Image Analysis

This book constitutes the refereed proceedings of the 6th International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2024, held in conjunction with MICCAI 2024, in Marrakesh, Morocco, on October…

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Werner Roddeck
Grundprinzipien der Mechatronik

Einleitung.- Modellbildung mit Bondgraphen.- Herleitung des mathematischen Modells.- Simulationssysteme.- Analyse linearer Systeme.- Multiport-Felder und komplexe Strukturen.- Komponenten mechatronischer …

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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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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.

Buch

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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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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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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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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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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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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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…

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Buch

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 31.3.2026.

Buch

Reconstruction and Imaging Motion Estimation, and Graphs in Biomedical Image Analysis

This book constitutes the refereed proceedings of the 7th International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2025, and the First Workshop on Reconstruction and Imaging Motion Estimation,…

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Buch

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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Michael Stiebitz, Thomas Schweser, Bjarne Toft
Brooks' Theorem

Brooks' Theorem (1941) is one of the most famous and fundamental theorems in graph theory - it is mentioned/treated in all general monographs on graph theory. It has sparked research in several directions…

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Vasco Trilla - A Constellation of Anomaly

Vasco Trilla (Percussion)

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CD

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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Joachim Hunker
Method for Combining Data Farming and Data Mining in a Logistics Assistance System for Materials Trading Networks Based on Graph Databases

To maintain the competitiveness of a materials trading network, decision-makers are confronted with a multitude of logistics tasks. Finding answers to these tasks often involves a decision-making process,…

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