fromtorch_scatterimportscatter_meanfromtorch_geometric.datasetsimportTUDatasetfromtorch_geometric.loaderimportDataLoaderdataset=TUDataset(root='/tmp/ENZYMES',name='ENZYMES',use_node_attr=True)loader=DataLoader(dataset,batch_size=32,shuffle=True)fordatainloader:data>>>DataBatch(batch=[1082],edge_index=[2...
1. 如何用PyG表示一张图 (torch_geometric.data.Data) 2. 如何用PyG 表示多张图(torch_geometric.data.Batch) 3.如何用PyG表示一系列的图(torch_geometric.data.Dataset) 4.如何用PyG加载一个Batch 的图片(torch_geometric.data.DataLoader)、 而本篇文章会包含第一部分 : torch_geometric.data.Data 1 如何表...
PyTorch Geometric 通过创建稀疏块对角邻接矩阵(由 edge_index和 edge_attr 定义)并在节点维度上连接特征和目标矩阵,以达到在小型批量数据集上实现并行化的目的。PyTorch Geometric 已经实现了一个自己的 torch_geometric.data.DataLoader 类,它已经处理了连接的过程。torch_geometric.data.Batch 继承自 torch_geometric.d...
在torch_geometric.datasets中,通常使用COO格式的稀疏矩阵来表示邻接矩阵,即将每个边的两个节点的编号和边的权重存储在两个矩阵中。 例如,对于一个包含N个节点和E条边的图,可以使用两个长度为E的一维数组edge_index和edge_attr来表示图的邻接矩阵。其中,edge_index[0]存储源节点的编号,edge_index[1]存储目标节点...
Graph Neural Network Library for PyTorch. Contribute to pyg-team/pytorch_geometric development by creating an account on GitHub.
Linear(hidden_dim, output_dim) def forward(self, data): x, edge_index, edge_weight, batch = data.x, data.edge_index, data.edge_attr, data.batch x = F.relu(self.conv1(x, edge_index, edge_weight)) x = self.conv2(x, edge_index, edge_weight) x = global_mean_pool(x, batch)...
Source File: test_static_graph.py From pytorch_geometric with MIT License 6 votes def test_static_graph(): edge_index = torch.tensor([[0, 1, 1, 2], [1, 0, 2, 1]]) x1, x2 = torch.randn(3, 8), torch.randn(3, 8) data1 = Data(edge_index=edge_index, x=x1) data2 =...
Source File: to_dense.py From pytorch_geometric with MIT License 5 votes def __call__(self, data): assert data.edge_index is not None orig_num_nodes = data.num_nodes if self.num_nodes is None: num_nodes = orig_num_nodes else: assert orig_num_nodes <= self.num_nodes num_nodes...
開發者ID:rusty1s,項目名稱:pytorch_geometric,代碼行數:10,代碼來源:test_gcn_conv.py 示例7: sparse_matrix ▲點讚 5▼ # 需要導入模塊: import torch [as 別名]# 或者: from torch importsparse_coo_tensor[as 別名]defsparse_matrix(data, index, shape, force_format=False):fmt = index[0]iffmt ...
data.edge_attr = torch.cat([pseudo, cart.type_as(pseudo)], dim=-1)else: data.edge_attr = cartreturndata 開發者ID:rusty1s,項目名稱:pytorch_geometric,代碼行數:19,代碼來源:local_cartesian.py 示例3: softmax1 ▲點讚 6▼ # 需要導入模塊: import torch_scatter [as 別名]# 或者: from torch...