可以看到,add_self_loops 会在原先的edge_index 的后面添加 0->0 , 1->1 , 2->2 的连接 3.4.2 knn 在torch_geometric 的依赖库 torch_cluster 当中,已经实现了 knn 算法,如下图,我进行了如下操作: 随机生成了5个点的坐标 利用knn算法,找到了这些点之间的关系 根据pos 和 edge_index 构建 data 以上...
File "/scratch/micromamba/envs/diffdock/lib/python3.9/site-packages/torch_geometric/nn/conv/gravnet_conv.py", line 13, in <module> from torch_cluster import knn File "/scratch/micromamba/envs/diffdock/lib/python3.9/site-packages/torch_cluster/__init__.py", line 18, in <module> torch...
def knn(x, y, k, batch_x=None, batch_y=None, cosine=False): r"""Finds for each element in :obj:`y` the :obj:`k` nearest points in :obj:`x`. Args: x (Tensor): Node feature matrix :math:`\mathbf{X} \in \mathbb{R}^{N \times F}`. y (Tensor): Node feature matrix ...
c:\users\scarl\appdata\local\programs\python\python38\lib\site-packages\test\test_grid.py c:\users\scarl\appdata\local\programs\python\python38\lib\site-packages\test\test_knn.py c:\users\scarl\appdata\local\programs\python\python38\lib\site-packages\test\test_matmul.py c:\users\scarl\app...
copying torch_cluster\knn.py -> build\lib.win-amd64-3.8\torch_cluster copying torch_cluster\nearest.py -> build\lib.win-amd64-3.8\torch_cluster copying torch_cluster\radius.py -> build\lib.win-amd64-3.8\torch_cluster copying torch_cluster\rw.py -> build\lib.win-amd64-3.8\torch_cluster...