Evidence map›Paper›PMID 39372220›Full record

ArticleFoundations of data science (Springfield, Mo.)2023

PERSISTENT HYPERDIGRAPH HOMOLOGY AND PERSISTENT HYPERDIGRAPH LAPLACIANS.

Dong Chen, Jian Liu, Jie Wu, Guo-Wei Wei

Abstract read
In one paragraph

Article in Foundations of data science (Springfield, Mo.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Drug Resistance Predictions Based on a Directed Flag Transformer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  6. PERSISTENT DIRECTED FLAG LAPLACIAN.Foundations of data science (Springfield, Mo.) · 2025
    Article
  7. PERSISTENT INTERACTION TOPOLOGY IN DATA ANALYSIS.Foundations of data science (Springfield, Mo.) · 2025
    Article
  8. Article
  9. A review of transformer models in drug discovery and beyond.Journal of pharmaceutical analysis · 2025
    Review
  10. Article
  11. Persistent Topological Laplacians-A Survey.Mathematics (Basel, Switzerland) · 2025
    Article
  12. Persistent Mayer Dirac.Journal of physics. Complexity · 2024
    Article
  13. PERSISTENT MAYER HOMOLOGY AND PERSISTENT MAYER LAPLACIAN.Foundations of data science (Springfield, Mo.) · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. PERSISTENT DIRAC OF PATHS ON DIGRAPHS AND HYPERGRAPHS.Foundations of data science (Springfield, Mo.) · 2024
    Article
  18. Article
  19. CHATGPT FOR COMPUTATIONAL TOPOLOGY.Foundations of data science (Springfield, Mo.) · 2024
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Dong ChenDepartment of Mathematics, Michigan State University, MI, 48824, USA.
Jian LiuMathematical Science Research Center, Chongqing University of Technology, Chongqing 400054, China.
Jie WuYanqi Lake Beijing Institute of Mathematical Sciences and Applications, Beijing 101408, China.
Guo-Wei WeiDepartment of Mathematics, Michigan State University, MI, 48824, USA.

Funding

AI-based platform for predicting emerging vaccine-escape variants and designing mutation-proof antibodiesR01AI164266 · NIAID · UNIVERSITY OF GEORGIA · PI Guowei Wei, YONG-HUI ZHENG · 2022 to 2026
$2.7M
Discovery-Driven Mathematics and Artificial Intelligence for Biosciences and Drug DiscoveryR35GM148196 · NIGMS · UNIVERSITY OF GEORGIA · PI Guowei Wei · 2023 to 2026
$1.5M
NIAID NIH HHS R01 AI164266NIGMS NIH HHS R35 GM148196
6 · The paper itself

Abstract

Hypergraphs are useful mathematical models for describing complex relationships among members of a structured graph, while hyperdigraphs serve as a generalization that can encode asymmetric relationships in the data. However, obtaining topological information directly from hyperdigraphs remains a challenge. To address this issue, we introduce hyperdigraph homology in this work. We also propose topological hyperdigraph Laplacians, which can extract both harmonic spectra and non-harmonic spectra from directed and internally organized data. Moreover, we introduce persistent hyperdigraph homology and persistent hyperdigraph Laplacians through filtration, enabling the capture of topological persistence and homotopic shape evolution of directed and structured data across multiple scales. The proposed methods offer new multiscale algebraic topology tools for topological data analysis.

Indexed as

18G85filtrationhomologypersistencePrimary: 55N31Secondary: 05C65Topological hyperdigraphTopological hyperdigraph Laplacians

Identifiers

PMID39372220
PMCPMC11452150

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.