The Laplacian spectral moments of power hypergraphs
Jueru Liu, Lixiang Chen, Changjiang Bu

TL;DR
This paper derives formulas for the Laplacian spectral moments of power hypergraphs and demonstrates that certain graphs can be uniquely identified by their high-order Laplacian spectra using these moments.
Contribution
It introduces new expressions for spectral moments of power hypergraphs and shows their potential in graph identification based on spectral data.
Findings
Formulas for spectral moments expressed via graph parameters
Some graphs are uniquely determined by their high-order Laplacian spectrum
Advances spectral graph theory with hypergraph spectral analysis
Abstract
The -th order Laplacian spectral moment of a -uniform hypergraph is the sum of the -th powers of all eigenvalues of its Laplacian tensor. In this paper, we obtain some expressions of the Laplacian spectral moments for -uniform power hypergraphs, and these expressions can be represented by some parameters of graphs. And we show that some graphs can be determined by their high-order Laplacian spectrum by using the Laplacian spectral moments of power hypergraphs.
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 · Graph theory and applications
