Graph Learning Techniques
portes grátis
Graph Learning Techniques
Liu, Ren Ping; Dutkiewicz, Eryk; Yuan, Xin; Ni, Wei; Shan, Baoling
Taylor & Francis Ltd
02/2025
162
Dura
9781032851136
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Table of Contents
Abstract
List of Figures
List of Tables
Contributors
1. Introduction
2. Privacy Considerations in Graph and Graph Learning
3. Existing Technologies of Graph Learning
4. Graph Extraction and Topology Learning of Band-limited Signals
5. Graph Learning from Band-Limited Data by Graph Fourier Transform Analysis
6. Graph Topology Learning of Brain Signals
7. Graph Topology Learning of COVID-19
8. Preserving the Privacy of Latent Information for Graph-Structured Data
9. Future Directions and Challenges
10. Appendix
Bibliography
Index
Abstract
List of Figures
List of Tables
Contributors
1. Introduction
2. Privacy Considerations in Graph and Graph Learning
3. Existing Technologies of Graph Learning
4. Graph Extraction and Topology Learning of Band-limited Signals
5. Graph Learning from Band-Limited Data by Graph Fourier Transform Analysis
6. Graph Topology Learning of Brain Signals
7. Graph Topology Learning of COVID-19
8. Preserving the Privacy of Latent Information for Graph-Structured Data
9. Future Directions and Challenges
10. Appendix
Bibliography
Index
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Graph-Structured-Data;Graph-Fourier-Transform;Graph-Representation-Learning;Graph-Neural-Network;Graph Signals;Privacy-Preserving;Differential-Privacy;Anonymization;Pseudonymization;Graphical-Lasso;Edge-Sparsity;Graph-Process;Graph-Extraction;Laplacian-Eigenvalues-Estimation;Graph-Topology;Complexity-Analysis;Ethical-Considerations
Table of Contents
Abstract
List of Figures
List of Tables
Contributors
1. Introduction
2. Privacy Considerations in Graph and Graph Learning
3. Existing Technologies of Graph Learning
4. Graph Extraction and Topology Learning of Band-limited Signals
5. Graph Learning from Band-Limited Data by Graph Fourier Transform Analysis
6. Graph Topology Learning of Brain Signals
7. Graph Topology Learning of COVID-19
8. Preserving the Privacy of Latent Information for Graph-Structured Data
9. Future Directions and Challenges
10. Appendix
Bibliography
Index
Abstract
List of Figures
List of Tables
Contributors
1. Introduction
2. Privacy Considerations in Graph and Graph Learning
3. Existing Technologies of Graph Learning
4. Graph Extraction and Topology Learning of Band-limited Signals
5. Graph Learning from Band-Limited Data by Graph Fourier Transform Analysis
6. Graph Topology Learning of Brain Signals
7. Graph Topology Learning of COVID-19
8. Preserving the Privacy of Latent Information for Graph-Structured Data
9. Future Directions and Challenges
10. Appendix
Bibliography
Index
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Graph-Structured-Data;Graph-Fourier-Transform;Graph-Representation-Learning;Graph-Neural-Network;Graph Signals;Privacy-Preserving;Differential-Privacy;Anonymization;Pseudonymization;Graphical-Lasso;Edge-Sparsity;Graph-Process;Graph-Extraction;Laplacian-Eigenvalues-Estimation;Graph-Topology;Complexity-Analysis;Ethical-Considerations
