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, et cetera In the last decade, methods like graph-bas...

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Bibliographic Details
Main Authors:	Dai, Qionghai (Author), Gao, Yue (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Edition:	1st ed. 2023.
Series:	Artificial Intelligence: Foundations, Theory, and Algorithms,
Subjects:	Artificial intelligence. Machine learning. Artificial intelligence-Data processing. Artificial Intelligence. Machine Learning. Data Science. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

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.