Graphen – Bücher, LPs, CDs und mehr, Seite 4

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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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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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…

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Yves van Gennip, Jeremy Budd
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…

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Charles Radin, Lorenzo Sadun
Emergence and Phase Transitions in Uniform Random Graphs

London Mathematical Society Lecture Note Series

This book studies the emergence of large-scale structure from small structures in the context of random graphs. Typical large graphs with fixed edge density e and triangle density t are described by a 'gr…

lieferbar ab 30.11.2026.

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

SpringerBriefs in Statistics

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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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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Graph Neural Networks: Essentials and Use Cases

This book explains the technologies and tools that underpin GNNs, offering a clear and practical guide to their industrial applications and use cases. AI engineers, data scientists, and researchers in AI …

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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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C. Prakash, P. Nagabhushanam, R. G. Panneerselvam
Computer-Aided Figured Graph Designing for Jacquard Weaving

Computer-aided figured graph designing (CAFGD) has become essential for the electronic jacquard weaving sector. This book explains the common principles of CAFGD for jacquard weaving, including systematic…

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Jin Xu
Maximal Planar Graph Theory and the Four-Color Conjecture

This open access book integrates foundational principles with advanced methodologies concerning maximal planar graphs. It offers readers an exceptional examination of graph structures, chromatic polynomia…

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Weibin Liu, Huaqing Hao, Hui Wang, Zhiyuan Zou
Graph Neural Network Methods and Applications in Scene Understanding

The book focuses on graph neural network methods and applications for scene understanding. Graph Neural Network is an important method for graph-structured data processing, which has strong capability of …

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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…

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Yunwei Ryan Li, Yuzhuo Li
Graph Theory in Power Converters: From Fundamental s to Applications

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…

lieferbar ab 26.10.2026.

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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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Volker Capito
Das Buch!

Keiner gewinnt allein - wahre Abenteuer aus einem Leben voller UmwegeVolker Capito wollte nie einfach nur geradeaus fahren. Sein Weg führte ihn vom Siegerland in die Welt, zur Rallye Paris-Dakar, durch Af…

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

Elements in Research Methods for Developmental 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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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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Yao Ding, Zhili Zhang, Haojie Hu, Fang He
Graph Neural Network for Feature Extraction and Classification of Hyperspectral Remote Sensing Images

Intelligent Perception and Information Processing

This book deals with hyperspectral image classification using graph neural network methods, focusing on classification model designing, graph information dissemination, and graph construction. In the book…

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