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Author

Mahima Weerasinghe

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Conference Aug 2026

Behavioral-Augmented Machine Learning for Relationship Discovery in Enterprise Data Fabrics

Integrating data across modern enterprise environments remains a significant challenge, largely because relationships between heterogeneous and distributed datasets are rarely defined explicitly. Most existing approaches to schema matching and dataset discovery depend on structural and statistical similarity measures,...

N. Jayarathna, Pasindi Kottage, Nandun Thenuwara et al. · 0 citations
Conference Aug 2026

Tag Entropy: A Structure-Agnostic Curriculum Learning Framework for Graph Neural Networks

Curriculum Learning (CL) orders training samples from easy to hard, but its application to graphs remains limited: existing methods rely on architecture-specific signals such as training loss, or on hand-crafted structural heuristics that do not transfer across datasets. Standard Graph Neural Network (GNN) training sid...

Dulara Madhusanka, Sanka Mohottala, A. Lindamulage et al. · 0 citations

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