Author

M. Al-Taie

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#graph neural networks Open access Sep 2026

RMGAT: a Relational Multi-Scale Graph Attention Network for spatial transcriptomics domain identification with systematic component ablation

A systematic ablation study providing evidence-based design guidance for spatial transcriptomics GNNs is provided, with findings support using GAT attention and contrastive learning and investing in node feature quality over edge feature complexity.

M. Al-Taie, Firas Hazzaa, Akram Qashou et al. · BMC Bioinformatics · 0 citations

Open access Aug 2026

Contrastive self-supervised learning for epileptic seizure detection from EEG with calibration and robustness evaluation under physiology-aligned perturbations

Labelled EEG data for epileptic seizure detection are scarce, and clinical recordings routinely suffer from realistic signal degradation including electrode loss, baseline drift, and sampling jitter. We present a proof-of-concept study applying contrastive self-supervised learning (SSL) to EEG epileptic seizure detecti...

M. Al-Taie, Firas Hazzaa, Akram Qashou · Discover Artificial Intellig... · 0 citations