Dr Asela Hevapathige
Research Fellow in AI for Health and Graph Neural Networks
Department of Mechanical Engineering
20 Scholarly works
0 Projects
HIGHLIGHTS
2026
Conference Proceedings
Invariant-Stratified Propagation for Expressive Graph Neural Networks
DOI: 10.1145/3770855.38181162026
Journal article
Permutation-Invariant graph partitioning: How graph neural networks capture structural interactions?
DOI: 10.1016/j.neunet.2026.1088692026
Journal article
Learning monotonic constraints for scientific regression: A statistical gradient boosting framework
DOI: 10.1007/s44443-026-00742-22026
Conference Proceedings
Large Language Models for Math Education in Low-Resource Languages: A Study in Sinhala and Tamil
DOI: 10.1109/ithet69978.2026.115849812026
Journal article
Beyond Fixed Depth: Adaptive Graph Neural Networks for Node Classification Under Varying Homophily
DOI: 10.1609/aaai.v40i26.393222025
Journal article
AxelSMOTE: an interaction-based oversampling algorithm inspired by cultural dissemination
DOI: 10.1088/2631-8695/ae1bfd2025
Journal article
Deep learning meets oversampling: a learning framework to handle imbalanced classification
DOI: 10.1007/s41870-025-02690-y
RECENT SCHOLARLY WORKS
2025
Conference Proceedings
Uncovering Structural Hierarchies in Molecules with Rich Club-Informed Representation Learning
DOI: 10.1109/acit65614.2025.111858992025
Journal article
Curvature-augmented graph neural networks for molecular representation learning
DOI: 10.1088/1402-4896/ae06d42025
Conference Proceedings
Orthogonal Activation with Implicit Group-Aware Bias Learning for Class Imbalance
DOI: 10.1109/mercon67903.2025.11217086