Graph-basedrepresentations – Bücher, CDs, LPs und mehr, Seite 4

Lihui Liu, Hanghang Tong
Neural Symbolic Knowledge Graph Reasoning

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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Walter Strampp
Diskrete Mathematik

De Gruyter Studium

Rundenspiele bilden ein faszinierendes Gebiet der Diskreten Mathematik, dem viel zu wenig Beachtung geschenkt wird. Wir behandeln Grundgebiete der diskreten Mathematik und stellen damit alle Hilfsmittel b…

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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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R. Rama
Topics in Combinatorics and Graph Theory

The book covers all the basics of both the topics. The topics are sequenced in such a manner that there is a flow in understanding the advances. The first and second chapters cover all the basic methods a…

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Serhii Shafraniuk
Graphene

Graphene, the first known example of a two-dimensional material, represents one of the most significant areas of contemporary research and serves as the foundation for emerging nanoelectronic applications…

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

Lecture Notes in Computer Science - Band 16150

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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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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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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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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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…

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B. Sundaravadivazhagan, E. Chandra Blessie, Pethuru Raj Chelliah
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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Priyanka Mahajan, Virat Khanna
Graphene in the Environment

Environmental Science and Engineering

This book explores the use of graphene in heavy metal cleanup. The introductory chapter contains enough information for understanding graphene, including its synthesis, characterisation, and amazing mecha…

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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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