5 torch_geometric 框架简洁代码 5.2 头文件(21年9月建议使用python3.6版本,3.8,3.9目前不支持框架) 5.3 数据预处理 参考资料 导航栏 前言 没有idea,那就加个Attention吧,如有Attention已经用过了,那就再加个gnn吧 1 图的基本概念 1.1 图的定义:用顶点和边建立相应关系的拓扑图。例如:社交关系、知识图谱、蛋白...
在Python中,我们可以使用`torch_geometric`包来安装和使用GCN模型。 `torch_geometric`是一个用于图神经网络的PyTorch扩展库,提供了方便的图数据处理和图神经网络模型实现的功能。它是基于PyTorch的高效图神经网络实现库,内置了一些常见的图神经网络层和模型,包括GCN。 要安装`torch_geometric`包,在命令行中运行以下命令...
PyG中的单个图由torch_geometric.data.Data的一个实例描述。默认情况下包含以下属性: data.x: 节点特征矩阵,形状为[num_nodes, num_node_features]。 data.edge_index: COO格式的图连接,形状为 [2, num_edges],类型为torch.long。 data.edge_attr: 边特征矩阵,形状为 [num_edges, num_edge_features]。
①安装torch_geometric包。 pip install torch_geometric 1. ②导入相关库 import torch import torch.nn.functional as F import torch.nn as nn import torch_geometric.nn as pyg_nn from torch_geometric.datasets import Planetoid 1. 2. 3. 4. 5. 二、PyG图学习架构 构建方法:首先继承MessagePassing类,...
from torch_geometric.nn import GCNConv class GCN(torch.nn.Module): def __init__(self, node_features, input_size, output_size): super(GCN, self).__init__() self.conv1 = GCNConv(node_features, input_size) self.MLP = torch.nn.Sequential( ...
# Check if PyTorch Geometric is installed: import torch_geometric except ImportError: # If PyTorch Geometric is not installed, install it. %pip install -qtorch-scatter -f https://pytorch-geometric.com/whl/torch-1.7.0+cu101.html %pip install -qtorch-sparse -f https:...
GCN BASED ON pytorch geometric 导入需要用到的库和模块 `import numpy as np import pandas as pd import matplotlib.pyplot as plt import torch import torch.nn.functional as F from torch_geometric.nn import GCNConv from torch_geometric.datasets import Planetoid...
%pip install -q torch-geometric 安装完成后导入我们需要的包 from typing import Callable, List, Optional, Tuple import matplotlib.pyplot as plt import numpy as np import torch import torch.nn.functional as F import torch_geometric.transforms as T ...
%pip install -q torch-geometric 安装完成后导入我们需要的包 from typing import Callable, List, Optional, Tuple import matplotlib.pyplot as plt import numpy as np import torch import torch.nn.functional as F import torch_geometric.transforms as T ...
pyplot as plt import numpy as np import torch import torch.nn.functional as F import torch_geometric.transforms as T from torch import Tensor from torch.optim import Optimizer from torch_geometric.data import Data from torch_geometric.datasets import Planetoid from torch_geometric.nn import GCNConv...