Connecting the Dots: Graph Neural Network Powered Ensemble and Classification of Medical Images. - Aryan Singh; Pepijn van de Ven; Ciarán Eising; Patrick Denny (AICS, 2023)

Compact & Capable: Harnessing Graph Neural Networks and Edge Convolution for Medical Image Classification. - Aryan Singh; Pepijn van de Ven; Ciarán Eising; Patrick Denny (CoRR, 2023)

Optimizing Ego Vehicle Trajectory Prediction: The Graph Enhancement Approach. - Sushil Sharma; Aryan Singh; Ganesh Sistu; Mark Halton; Ciarán Eising (CoRR, 2023)

Dynamic Filter Application in Graph Convolutional Networks for Enhanced Spectral Feature Analysis and Class Discrimination in Medical Imaging. - Aryan Singh; Pepijn van de Ven; Ciarán Eising; Patrick Denny (IEEE Access, 2024)

Large Language Models aren't all that you need. - Kiran Voderhobli Holla; Chaithanya Kumar; Aryan Singh (CoRR, 2024)

Subgraph Clustering and Atom Learning for Improved Image Classification. - Aryan Singh; Pepijn van de Ven; Ciarán Eising; Patrick Denny (CoRR, 2024)

Deformable Convolution Based Road Scene Semantic Segmentation of Fisheye Images in Autonomous Driving. - Anam Manzoor; Aryan Singh; Ganesh Sistu; Reenu Mohandas; Eoin Martino Grua; Anthony G. Scanlan; Ciarán Eising (CoRR, 2024)

Image Segmentation: Inducing graph-based learning. - Aryan Singh; Pepijn van de Ven; Ciarán Eising; Patrick Denny (CoRR, 2025)

AI Based Font Pair Suggestion Modelling For Graphic Design. - Aryan Singh; Sumithra Bhakthavatsalam (CoRR, 2025)