arXiv cs.LG
· Papers
Spatiotemporal Graph Transformer for Traffic Intelligence in Edge Computing
arXiv:2608.04075v1 Announce Type: new Abstract: Accurate traffic forecasting is essential for proactive resource management in edge computing, where service demand evolves dynamically across both space and time. In practical cellular edge systems, traffic exhibits strong spatial correlations among neighboring service r