Optimizing large-scale graph database ingestion through edge value ranking: a proposed framework.

Madduru PR, Thomas B

DOI: 10.3389/fdata.2026.1768571
Published: 2026
Container: Frontiers in big data
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fdata.2026.1768571,
  title = {Optimizing large-scale graph database ingestion through edge value ranking: a proposed framework.},
  author = {Madduru PR and Thomas B},
  year = {2026},
  journal = {Frontiers in big data},
  doi = {10.3389/fdata.2026.1768571},
  url = {https://doi.org/10.3389/fdata.2026.1768571}
}

RIS

TY  - JOUR
TI  - Optimizing large-scale graph database ingestion through edge value ranking: a proposed framework.
AU  - Madduru PR
AU  - Thomas B
PY  - 2026
JO  - Frontiers in big data
DO  - 10.3389/fdata.2026.1768571
UR  - https://doi.org/10.3389/fdata.2026.1768571
ER  -

APA

PR, M., & B, T. (2026). Optimizing large-scale graph database ingestion through edge value ranking: a proposed framework.. Frontiers in big data. https://doi.org/10.3389/fdata.2026.1768571

Source records

pubmed · retrieved 2026-11-10T06:55:03.541Z