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请问" _generate_G_from_H"中“G = DV2 * H * W * invDE * HT * DV2“这行代码表示的什么意思呢 #46
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G是HGNN(Feng Y, You H, Zhang Z, et al. Hypergraph neural networks[C]//Proceedings of the AAAI Conference on Artificial Intelligence. 2019, 33(01): 3558-3565.)的卷积核矩阵,在本文中用于特征降维 |
谢谢您的回复,我还有一个疑问: _nearest_select方法中 的 torch.topk默认是从大到小排列的,这个方法返回值nearest_feature 得到的就是距离节点u最远的前k个节点,作者对于具有固有图结构的数据,在u的一阶邻域内采样k个顶点,这些顶点也在Adj(u)上形成一个超边。 作者采样的k个顶点是距离顶点u最远的前k个顶点吗? |
为什么选最远的k个1阶邻居,而不是最近的1阶邻居呢? |
_nearest_select计算距离用的是cosine距离,cosine值越大,cosine距离越近 |
懂了,谢谢您的回复,(^▽^) |
您好,整个代码调试成功了吗? |
请问G表示什么含义呢?我在论文中没有找到相关含义
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