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JingqingZ avatar JingqingZ commented on May 26, 2024

每一个搜索query的信息都包含出发时间和预计抵达时间，所以query本身是跟时序相关的

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brness avatar brness commented on May 26, 2024

谢谢您的答复。还有一个问题就是模型融合的时候要考虑一些什么呢？就比如说为什么将Attribute放置decoder的FC层以及Graph CNN为什么在encoder的输入层？有什么原因在里面吗？

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JingqingZ avatar JingqingZ commented on May 26, 2024

在我们的模型当中融合辅助信息主要考虑：

  • Attribute的融合主要参考Wide and Deep Leanring
  • Graph CNN的作用是将附近节点的traffic speed融合进模型当中，因为与{v_1,...,v_t}同为traffic speed，所以用同一个encoder融合最为直接
  • Query Impact (QI)的信息相对独立，所以另外用了一个encoder进行融合

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brness avatar brness commented on May 26, 2024

非常感谢您的答复！！have a good day!

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JingqingZ avatar JingqingZ commented on May 26, 2024

感谢您的关注！～

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