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Title: fix the bug of average degree by HPUtx813 · Pull Request #51 · iMoonLab/DeepHypergraph · GitHub

Open Graph Title: fix the bug of average degree by HPUtx813 · Pull Request #51 · iMoonLab/DeepHypergraph

X Title: fix the bug of average degree by HPUtx813 · Pull Request #51 · iMoonLab/DeepHypergraph

Description: A pytorch library for graph and hypergraph computation. - fix the bug of average degree by HPUtx813 · Pull Request #51 · iMoonLab/DeepHypergraph

Open Graph Description: UniGCN在计算超边e的度的平均值时用的_De.scatter_reduce函数，在指定mean求平均时，假如有两个值被分配到某个索引，由于_De本身的值也被计算了，因此结果是三个数的平均（_De的初始值也被平均了，即便是0），下面用例子说明： import torch # 源张量 src = torch.tensor([1.0, 2.0, 3.0, 4.0]) # 索引张量 inde...

X Description: UniGCN在计算超边e的度的平均值时用的_De.scatter_reduce函数，在指定mean求平均时，假如有两个值被分配到某个索引，由于_De本身的值也被计算了，因此结果是三个数的平均（_De的初始值也被平均了，即便是0），下面用例子说明： import torch # 源张量 src = torch.tensor([1.0, 2.0, 3.0, 4.0]) # 索引张量 inde...

Opengraph URL: https://github.com/iMoonLab/DeepHypergraph/pull/51

X: @github

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og:image:altUniGCN在计算超边e的度的平均值时用的_De.scatter_reduce函数，在指定mean求平均时，假如有两个值被分配到某个索引，由于_De本身的值也被计算了，因此结果是三个数的平均（_De的初始值也被平均了，即便是0），下面用例子说明： import torch # 源张量 src = torch.tensor([1.0, 2.0, 3.0, 4.0]) # 索引张量 inde...
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