2 papers
cs.LG2025
Improving the Computational Efficiency and Explainability of GeoAggregator
Rui Deng, Ziqi Li, Mingshu Wang
Accurate modeling and explaining geospatial tabular data (GTD) are critical for understanding geospatial phenomena and their underlying processes. Recent work has proposed a novel…
cs.LG2025
GeoAggregator: An Efficient Transformer Model for Geo-Spatial Tabular Data
Rui Deng, Ziqi Li, Mingshu Wang
Modeling geospatial tabular data with deep learning has become a promising alternative to traditional statistical and machine learning approaches. However, existing deep learning m…