Asela Hevapathige — accepted AI-conference papers

2026

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

Asela Hevapathige, Asiri Wijesinghe, Ahad N. Zehmakan

AAAI 2026technical

Graph Neural Networks (GNNs) have achieved significant success in addressing node classification tasks. However, the effectiveness of traditional GNNs degrades on heterophilic graphs, where connected nodes often belong to different labels or properties. While recent work has introduced mechanisms to

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2025

DeepSN: A Sheaf Neural Framework for Influence Maximization

Asela Hevapathige, Qing Wang, Ahad N. Zehmakan

AAAI 2025technical

Influence maximization is a key topic in data mining, with broad applications in social network analysis and viral marketing. In recent years, researchers have increasingly turned to machine learning techniques to address this problem. By learning the underlying diffusion processes from data, these…

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