Graph Neural Networks and sequential architectures for autism detection from eye-tracking biomarkers: a multi-site study.

Overview

1. Engineering Laboratory for Intelligent Technologies and Transformation (ELITT-Lab), Higher School of Technology, Abdelmalek Essaadi University,9 Avril, Tetouan, 93000 Morocco
2. Information Processing and Decision Support Laboratory, Faculty of Sciences, Ibn Tofail University,Campus Universitaire Kénitra, Kenitra, 133 Morocco

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Code

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The paper's code and data availability statement is in the Data section.

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Data

Datasets cited

• figshare:20113592, at figshare; found in “Data availability”
• zenodo:13960426, at Zenodo; found in “Data availability”

Code and data availability statement

The paper has a code and data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

• it points to 2 datasets: figshare 20113592, Zenodo 13960426
• it says that the code is available on request

Read it in the paper: doi.org/10.1186/s12888-026-08256-x.

Versions

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Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 3 authors, 6 keywords, 13 MeSH terms, 41 references.

Cite

This paper

El Ayat, N., Boutalline, M., & Tannouche, A. (2026). Graph Neural Networks and sequential architectures for autism detection from eye-tracking biomarkers: a multi-site study. BMC psychiatry, 26(1), 621. https://doi.org/10.1186/s12888-026-08256-x

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