Asela Hevapathige

According to our database, Asela Hevapathige authored at least 15 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

From Specification to Architecture: A Theory Compiler for Knowledge-Guided Machine Learning.

Asela Hevapathige, Yu Xia, Sachith Seneviratne, Saman K. Halgamuge

CoRR, March, 2026

Invariant-Stratified Propagation for Expressive Graph Neural Networks.

Asela Hevapathige, Ahad N. Zehmakan, Asiri Wijesinghe, Saman K. Halgamuge

CoRR, March, 2026

Beyond Translation: Evaluating Mathematical Reasoning Capabilities of LLMs in Sinhala and Tamil.

Sukumar Kishanthan, Kumar Thushalika, Buddhi G. Jayasekara, Asela Hevapathige

CoRR, February, 2026

Permutation-Invariant graph partitioning: How graph neural networks capture structural interactions?

Asela Hevapathige, Qing Wang

Neural Networks, 2026

Beyond Fixed Depth: Adaptive Graph Neural Networks for Node Classification Under Varying Homophily.

Asela Hevapathige, Asiri Wijesinghe, Ahad N. Zehmakan

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Orthogonal Activation with Implicit Group-Aware Bias Learning for Class Imbalance.

Sukumar Kishanthan, Asela Hevapathige

CoRR, December, 2025

Graph Neural Networks with Similarity-Navigated Probabilistic Feature Copying.

Asela Hevapathige

CoRR, September, 2025

AxelSMOTE: An Agent-Based Oversampling Algorithm for Imbalanced Classification.

Sukumar Kishanthan, Asela Hevapathige

CoRR, September, 2025

Graph Neural Diffusion via Generalized Opinion Dynamics.

Asela Hevapathige, Asiri Wijesinghe, Ahad N. Zehmakan

CoRR, August, 2025

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification.

Sukumar Kishanthan, Asela Hevapathige

CoRR, February, 2025

Depth-Adaptive Graph Neural Networks via Learnable Bakry-Émery Curvature.

Asela Hevapathige, Ahad N. Zehmakan, Qing Wang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Uncovering Structural Hierarchies in Molecules with Rich Club-Informed Representation Learning.

Yasida Insika Wanigatunga, Asela Hevapathige

Proceedings of the 15th International Conference on Advanced Computer Information Technologies, 2025

DeepSN: A Sheaf Neural Framework for Influence Maximization.

Asela Hevapathige, Qing Wang, Ahad N. Zehmakan

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2023

Uplifting the Expressive Power of Graph Neural Networks through Graph Partitioning.

Asela Hevapathige, Qing Wang

CoRR, 2023

OC-SMOTE-NN: A Deep Learning-based Approach for Imbalanced Classification.

Navodika Karunasingha, Buddhi G. Jayasekara, Asela Hevapathige

Proceedings of the 13th IEEE Annual Computing and Communication Workshop and Conference, 2023