Asela Hevapathige

According to our database, Asela Hevapathige authored at least 8 papers between 2023 and 2025.

Collaborative distances:

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

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

DeepSN: A Sheaf Neural Framework for Influence Maximization.

Asela Hevapathige, Qing Wang, Ahad N. Zehmakan

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 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