Steady and ranging sets in graph persistence
Not on the map. Why?
Abstract (arXiv)
Topological data analysis can provide insight on the structure of weighted graphs and digraphs. However, some properties underlying a given (di)graph are hardly mappable to simplicial complexes. We introduce textitsteady and textitranging sets: two standardized ways of producing persistence diagrams directly from graph-theoretical features. The two constructions are framed in the context of textitindexing-aware persistence functions. Furthermore, we introduce a sufficient condition for stability. Finally, we apply the steady- and ranging-based persistence constructions to toy examples and real-world applications.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 15 Sep 2020.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2022: 2; 2023: 0; 2024: 0; 2025: 1.
3 papers.
- 2022Generalized Permutants and Graph GENEOscited by 5
- 2025Graph Persistence goes Spectralcited by 1
- 2022Persistence-based operators in machine learningcited by 0
- 2025Graph Persistence goes Spectral6 Jun 2025
- 2022Persistence-based operators in machine learning28 Dec 2022
- 2022Generalized Permutants and Graph GENEOs29 Jun 2022