from torch_geometric.nn.dense.linear import Linear

I'm sorry, but as an AI language model, I cannot execute code or access external libraries. However, I can tell you that `torch_geometric.nn.dense.linear.Linear` is a PyTorch Geometric module that implements a linear transformation on dense input data. It takes as input a matrix of size `[batch_size, in_channels]` and returns a matrix of size `[batch_size, out_channels]` after applying a linear transformation with weights of size `[in_channels, out_channels]`.

相关问题

python里sample_and_group怎么引入

`sample_and_group` 函数是 PyTorch Geometric 库中的函数，用于对图数据进行采样和分组操作。要使用该函数，需要先安装 PyTorch Geometric 库。

可以通过以下命令使用 pip 安装 PyTorch Geometric：

pip install torch-geometric

安装完成后，可以在 Python 代码中导入 `sample_and_group` 函数：

from torch_geometric.nn import fps, radius, knn, global_max_pool
from torch_geometric.nn import MessagePassing
from torch_geometric.utils import add_self_loops, degree, to_dense_batch
from torch_cluster import knn_graph, radius_graph
from torch_scatter import scatter_mean
from torch_geometric.nn import Sequential, GCNConv, BatchNorm1d, ReLU, SAGPooling
from torch_geometric.nn import global_mean_pool, global_max_pool, global_add_pool
from torch_geometric.nn import EdgeConv, NNConv
from torch.nn import Linear, Dropout, LeakyReLU
from torch_geometric.nn.pool import Pool

# 导入sample_and_group函数
from torch_geometric.nn import fps, radius, knn, global_max_pool, SampleAndGroup

导入完成后，就可以在你的代码中使用 `sample_and_group` 函数了。