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cs.AI2025
Capturing Complex Spatial-Temporal Dependencies in Traffic Forecasting: A Self-Attention Approach
Zheng Chenghong, Zongyin Deng, Liu Cheng +3
We study the problem of traffic forecasting, aiming to predict the inflow and outflow of a region in the subsequent time slot. The problem is complex due to the intricate spatial a…
cs.LG2025★ 1 cited
MTM: A Multi-Scale Token Mixing Transformer for Irregular Multivariate Time Series Classification
Shuhan Zhong, Weipeng Zhuo, Sizhe Song +3
Irregular multivariate time series (IMTS) is characterized by the lack of synchronized observations across its different channels. In this paper, we point out that this channel-wis…