EMAGN uses learned clustering for scalable traffic forecasting.
Read the original at arxiv.org→arXiv:2607.13241v1 Announce Type: new Abstract: Traffic forecasting is highly challenging due to complex and nonlinear spatial and temporal dependencies. Self-attention mechanisms have been widely adopted to model...
Original headline: "EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting"