Benchmarking the impact of data leakage on the performance of knowledge graph embedding models for biomedical link prediction
- DOI
- 10.1093/bioinformatics/btag608
- Published
- 2026-08
- Container
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Open access
- unknown
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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 = {Galadriel Brière and Thomas Stosskopf and Benjamin Loire and Anaïs Baudot},
year = {2026},
journal = {Bioinformatics},
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 - Galadriel Brière AU - Thomas Stosskopf AU - Benjamin Loire AU - Anaïs Baudot PY - 2026 JO - Bioinformatics DO - 10.1093/bioinformatics/btag608 UR - https://doi.org/10.1093/bioinformatics/btag608 ER -
APA
Brière, G., Stosskopf, T., Loire, B., & Baudot, A. (2026). Benchmarking the impact of data leakage on the performance of knowledge graph embedding models for biomedical link prediction. Bioinformatics. https://doi.org/10.1093/bioinformatics/btag608
Source records
- crossref · retrieved 2026-11-10T07:34:53.341Z