Durrmeyer deep fractional graph networks: A variable-order fractional framework for adaptive memory depth in spatiotemporal brain dynamics

Kadak, Ugur

DOI: 10.34734/fzj-2026-05276
Published: 2026
Container: Not recorded
Publisher: Forschungzentrum Jülich
Open access: no

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Cite this work

BibTeX

@article{allodium:10.34734/fzj-2026-05276,
  title = {Durrmeyer deep fractional graph networks: A variable-order fractional framework for adaptive memory depth in spatiotemporal brain dynamics},
  author = {Kadak, Ugur},
  year = {2026},
  doi = {10.34734/fzj-2026-05276},
  url = {https://doi.org/10.34734/fzj-2026-05276}
}

RIS

TY  - JOUR
TI  - Durrmeyer deep fractional graph networks: A variable-order fractional framework for adaptive memory depth in spatiotemporal brain dynamics
AU  - Kadak, Ugur
PY  - 2026
DO  - 10.34734/fzj-2026-05276
UR  - https://doi.org/10.34734/fzj-2026-05276
ER  -

APA

Ugur, K. (2026). Durrmeyer deep fractional graph networks: A variable-order fractional framework for adaptive memory depth in spatiotemporal brain dynamics. https://doi.org/10.34734/fzj-2026-05276

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datacite · retrieved 2026-11-06T04:03:27.047Z