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Temporal Dependency Encoder看起来好像就是一个带残差的MLP啊,“This enriched information enables our in-context learning to effectively identify variations in spatio-temporal patterns across different regions and time intervals, thereby facilitating precise modeling of temporal correlations.” 这句话为什么成立呀?您可以解释一下吗?
读完论文,有很多问题没有太理解,以下列出了一小部分但不全,希望您能回答一下
如果可以的话,您能否再具体解释一下MLP + GCN + 对比学习和标题中的提示微调以及论文中说到的解决分布漂移之间的关系?
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