Gnn

New paper: Predicting building characteristics at urban scale using graph neural networks and street-level context
Computers, Environment and Urban Systems publishes our new research on mitigating the lack of information of the building stock.
2024-05-20 3 min read
New paper: Predicting building characteristics at urban scale using graph neural networks and street-level context
New paper: Developing a multiview spatiotemporal model based on deep graph neural networks to predict the travel demand by bus
IJGIS publishes a collaborative paper that presents a novel method to predict short-term travel demand by bus.
2023-04-27 2 min read
New paper: Developing a multiview spatiotemporal model based on deep graph neural networks to predict the travel demand by bus