Jue-Xin Wang

spaGFM is a scalable graph foundation model for spatial transcriptomics analyses

Foundation models offer a promising paradigm for modeling spatial transcriptomics, but capturing tissue context over cellular graphs makes training at scale challenging. We introduce spaGFM, a graph foundation model that serializes cellular neighborhoods through random walks to generate transformer-compatible represent...