46 citations · 95 across the 6 of their papers we have counts for
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cs.LG2023★ 15 cited
Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment
Yutong Xia, Yuxuan Liang, Haomin Wen +4
Spatio-Temporal Graph (STG) forecasting is a fundamental task in many real-world applications. Spatio-Temporal Graph Neural Networks have emerged as the most popular method for STG…
cs.NE2023★ 3 cited
AutoST: Training-free Neural Architecture Search for Spiking Transformers
Ziqing Wang, Qidong Zhao, Jinku Cui +2
Spiking Transformers have gained considerable attention because they achieve both the energy efficiency of Spiking Neural Networks (SNNs) and the high capacity of Transformers. How…