Spatial data generalisation is a critical process in cartography and geographic information science, enabling the simplification of complex geospatial datasets while retaining essential structural and ...

Dublin, March 18, 2025 (GLOBE NEWSWIRE) -- The "Data Anonymization Tools Market by Type (Data Aggregation, Data Generalization, Data Masking), Deloyment (Cloud, On-Premise), Organization Size, ...

Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...

Data augmentation refers to a set of techniques that modify existing data instances to create new, synthetic samples. These techniques involve applying a range of transformations such as rotation, ...