AI RESEARCH
GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis Mamba
arXiv CS.AI
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ArXi:2604.16859v1 Announce Type: new Accurate traffic forecasting is crucial for intelligent transportation systems, ing effective traffic management, congestion reduction, and informed urban planning. However, traditional models often fail to adequately capture the intricate spatio-temporal dependencies present in traffic data. To overcome these limitations, we