Generalizing the hypergraph Laplacian via a diffusion process with mediators
From MaRDI portal
Publication:5916256
DOI10.1007/978-3-319-94776-1_37zbMath1442.05144arXiv1804.11128OpenAlexW2999782657WikidataQ127489779 ScholiaQ127489779MaRDI QIDQ5916256
No author found.
Publication date: 4 October 2018
Published in: Theoretical Computer Science, Lecture Notes in Computer Science (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1804.11128
Related Items (5)
Networks beyond pairwise interactions: structure and dynamics ⋮ What Are Higher-Order Networks? ⋮ The structure and dynamics of networks with higher order interactions ⋮ Comparing the principal eigenvector of a hypergraph and its shadows ⋮ Unnamed Item
Cites Work
- Unnamed Item
- \(\lambda_ 1\), isoperimetric inequalities for graphs, and superconcentrators
- Eigenvalues and expanders
- Diffusion operator and spectral analysis for directed hypergraph Laplacian
- Hypergraph Markov Operators, Eigenvalues and Approximation Algorithms
- Algorithmic Extensions of Cheeger’s Inequality to Higher Eigenvalues and Partitions
- Expander graphs and their applications
- On clusterings
- Spectral Properties of Hypergraph Laplacian and Approximation Algorithms
- Improved Cheeger's Inequality and Analysis of Local Graph Partitioning using Vertex Expansion and Expansion Profile
- Approximation Algorithm for Sparsest k-Partitioning
- Multi-way spectral partitioning and higher-order cheeger inequalities
- Many sparse cuts via higher eigenvalues
- Improved Cheeger's inequality
This page was built for publication: Generalizing the hypergraph Laplacian via a diffusion process with mediators