This paper is marked retracted in the scholarly record (OpenAlex). Interpret its findings with caution.
RETRACTED ARTICLE: DynaGraph: interpretable dynamic graph learning for temporal electronic health records
Munib Mesinovic, Soheila Molaei, Peter Watkinson, Tingting Zhu

Abstract
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
- —EPSRC CDT Health Data Science
- —https://doi.org/10.13039/501100000287Royal Academy of Engineering
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMachine Learning in Healthcare · Electronic Health Records Systems · Time Series Analysis and Forecasting
The Editor-in-Chief has retracted this article.
For this article, several concerns have been raised regarding irregularities in the content and in some of the cited references. Issues include incorrect statements, inconsistencies in reported time intervals, incorrect equations or missing notations, irregularities in provided code and the presence of non-existing references. The authors have provided an explanation for the raised concerns, and have acknowledged some of the inconsistencies in content; however, their explanation does not appear to be satisfactory and does not resolve the raised concerns.
Therefore, the Editor-in-Chief has lost confidence in the content and data presented in this article.
Peter Watkinson stated on behalf of Tingtin Zhu that they agree with this retraction. None of the remaining authors has responded to any correspondence regarding this retraction.
The online version of this article contains the full text of the retracted article as Supplementary Information.
Supplementary information
Former article version
