Adaptive graph construction and graph contrastive learning for geospatial feature embedding
Geospatial features serve as a cornerstone in urban planning and location-based services. Effective geospatial feature embedding is crucial for downstream geospatial Deep Neural Networks (DNN) applications. Currently, geospatial feature representation learning approaches rely on image or textual data to implicitly enco...