The geometry connectivity of hypergraphs
Chunli Deng, Lizhu Sun, Changjiang Bu

TL;DR
This paper introduces the concept of geometry connectivity in hypergraphs, showing it equals the number of connected components, thus linking spectral properties of the Laplacian tensor to hypergraph connectivity.
Contribution
It defines the geometry connectivity of a hypergraph and proves its equivalence to the number of connected components, providing a spectral characterization of hypergraph connectivity.
Findings
Geometry connectivity equals the number of connected components.
Spectral properties of the Laplacian tensor characterize hypergraph connectivity.
Provides a new spectral tool for analyzing hypergraph structure.
Abstract
Let be a -uniform hypergraph, be its Laplacian tensor. And denotes the maximum number of linearly independent nonnegative eigenvectors of corresponding to the eigenvalue . In this paper, is called the geometry connectivity of . We show that the number of connected components of equals the geometry connectivity .
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsTensor decomposition and applications · Advanced Neuroimaging Techniques and Applications · Graph theory and applications
