Hypergraph Computation

This open access book discusses the theory and methods of hypergraph computation. Many underlying relationships among data can be represented using graphs, for example in the areas including computer vision, molecular chemistry, molecular biology, etc. In the last decade, methods like graph-based le...

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Detalles Bibliográficos
Otros Autores:	Dai, Qionghai, author (author), Gao, Yue, author
Formato:	Libro electrónico
Idioma:	Inglés
Publicado:	Singapore : Springer Nature Singapore 2023.
Edición:	1st ed. 2023.
Colección:	Artificial intelligence (Berlin, Germany)
Materias:	Artificial intelligence. Machine learning. Artificial intelligence—Data processing. Artificial Intelligence. Machine Learning. Data Science.
Ver en Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009762725706719

Tabla de Contenidos:

Chapter 1. Introduction
Chapter 2. Mathematical Foundations of Hypergraph
Chapter 3. Hypergraph Computation Paradigms
4. Hypergraph Modeling
Chapter 5. Typical Hypergraph Computation Tasks
6. Hypergraph Structure Evolution
Chapter 7. Neural Networks on Hypergraph
Chapter 8. Large Scale Hypergraph Computation
Chapter 9. Hypergraph Computation for Social Media Analysis
Chapter 10. Hypergraph Computation for Medical and Biological Applications
Chapter 11. Hypergraph Computation for Computer Vision
Chapter 12.The Deep Hypergraph Library
Chapter 13. Conclusions and Future Work.

Hypergraph Computation

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