Learning Fine-grained Location Embedding from Human Mobility with Graph Neural Networks
Learning Fine-grained Location Embedding from Human Mobility with Graph Neural Networks
An increasing amount of location-based service (LBS) data is being accumulated and helps to study urban dynamics and human mobility. GPS coordinates and other location indicators are normally low dimensional and only representing spatial proximity, thus difficult to be effectively utilized by machine learning models in Geo-aware applications. Existing location …