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看过论文以及您的代码后, 有问题如下,想和您探讨一下: 个人理解, 1)在迭代计算用户u与邻居v在K因子下的概率p(代码中attention)时,不需要更新邻居v的特征,但需要更新节点u的特征; 2)在迭代更新用户u的特征表示时,每一轮都是用的是第一轮输入的u,v非上一轮更新后的u,v,p(attention)为上一轮更新的p
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你好,请问这个问题解决了吗,是否方便加个联系方式讨论讨论?
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看过论文以及您的代码后,
有问题如下,想和您探讨一下:
个人理解,
1)在迭代计算用户u与邻居v在K因子下的概率p(代码中attention)时,不需要更新邻居v的特征,但需要更新节点u的特征;
2)在迭代更新用户u的特征表示时,每一轮都是用的是第一轮输入的u,v非上一轮更新后的u,v,p(attention)为上一轮更新的p
The text was updated successfully, but these errors were encountered: