HK-DeepIV: heat-kernel geometric diagnostics and early-warning signals for curvature-induced interference in financial correlation networks

Ntebogang Dinah Moroke

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DOI: 10.3389/fdata.2026.1925931
Published: 9
Container: Frontiers in Big Data
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fdata.2026.1925931,
  title = {HK-DeepIV: heat-kernel geometric diagnostics and early-warning signals for curvature-induced interference in financial correlation networks},
  author = {Ntebogang Dinah Moroke},
  year = {2026},
  journal = {Frontiers in Big Data},
  doi = {10.3389/fdata.2026.1925931},
  url = {https://doi.org/10.3389/fdata.2026.1925931}
}

RIS

TY  - JOUR
TI  - HK-DeepIV: heat-kernel geometric diagnostics and early-warning signals for curvature-induced interference in financial correlation networks
AU  - Ntebogang Dinah Moroke
PY  - 2026
JO  - Frontiers in Big Data
DO  - 10.3389/fdata.2026.1925931
UR  - https://doi.org/10.3389/fdata.2026.1925931
ER  -

APA

Moroke, N. D. (2026). HK-DeepIV: heat-kernel geometric diagnostics and early-warning signals for curvature-induced interference in financial correlation networks. Frontiers in Big Data. https://doi.org/10.3389/fdata.2026.1925931

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doaj · retrieved 2026-09-25T05:54:04.320Z