Benchmarking the impact of data leakage on the performance of knowledge graph embedding models for biomedical link prediction.
- DOI
- 10.1093/bioinformatics/btag608
- Published
- 2026 Aug 3
- Container
- Bioinformatics (Oxford, England)
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1093/bioinformatics/btag608,
title = {Benchmarking the impact of data leakage on the performance of knowledge graph embedding models for biomedical link prediction.},
author = {Brière G and Stosskopf T and Loire B and Baudot A},
year = {2026},
journal = {Bioinformatics (Oxford, England)},
doi = {10.1093/bioinformatics/btag608},
url = {https://doi.org/10.1093/bioinformatics/btag608}
}RIS
TY - JOUR TI - Benchmarking the impact of data leakage on the performance of knowledge graph embedding models for biomedical link prediction. AU - Brière G AU - Stosskopf T AU - Loire B AU - Baudot A PY - 2026 JO - Bioinformatics (Oxford, England) DO - 10.1093/bioinformatics/btag608 UR - https://doi.org/10.1093/bioinformatics/btag608 ER -
APA
G, B., T, S., B, L., & A, B. (2026). Benchmarking the impact of data leakage on the performance of knowledge graph embedding models for biomedical link prediction.. Bioinformatics (Oxford, England). https://doi.org/10.1093/bioinformatics/btag608