Yanlin Qi

TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning

2024 · arXiv (Cornell University)

Spatial representation learning (SRL) aims at learning general-purpose neural network representations from various types of spatial data (e.g., points, polylines, polygons, networks, images, etc.) in their native formats. Learning good spatial representations is a fundamental …