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关于 NSLoss 的问题 #108

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JXT218 opened this issue Jun 23, 2021 · 1 comment

JXT218 commented Jun 23, 2021

您好，

我注意到在dgl 的 implementation, negative sample 并不是uniform 的，而是

[ (log(i+2) - log(i+1)) / log(num_nodes + 1)]

当i 越来越大，sample 到的概率越小，可是node 的 index 是随机生成，为什么要让sample的概率和node的顺序有关呢？

见如下链接
https://github.com/dmlc/dgl/blob/31f4483af7eaced74540bfbea373155b16720183/examples/pytorch/GATNE-T/src/main.py#L187

Member

cenyk1230 commented Jun 24, 2021

Hi @JXT218 节点的index是会根据random walks里的出现次数来重编号的，编号越小出现次数越多。

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