REVIEW 1 cited by
Hochschild homology, and a persistent approach via connectivity digraphs
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
Hochschild homology, and a persistent approach via connectivity digraphs
read the original abstract
We introduce a persistent Hochschild homology framework for directed graphs. Hochschild homology groups of (path algebras of) directed graphs vanish in degree $i\geq 2$. To extend them to higher degrees, we introduce the notion of connectivity digraphs and analyse two main examples; the first, arising from Atkin's $q$-connectivity, and the second, here called $n$-path digraphs, generalising the classical notion of line graphs. Based on a categorical setting for persistent homology, we propose a stable pipeline for computing persistent Hochschild homology groups. This pipeline is also amenable to other homology theories; for this reason, we complement our work with a survey on homology theories of digraphs.
Forward citations
Cited by 1 Pith paper
-
Towards a Quantitative Theory of Digraph-Based Complexes and its Applications in Brain Network Analysis
Developed characterization and similarity measures for digraph-based complexes and applied them to iPDC brain networks to examine higher-order topology changes from pre-ictal to ictal to post-ictal phases in epilepsy.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.