Graph Neural Network Library for PyTorch. Contribute to pyg-team/pytorch_geometric development by creating an account on GitHub.
importtorchfromtorch.nnimportSequentialasSeq,LinearasLin,ReLUfromtorch_geometric.nnimportMessagePassingclassEdgeConv(MessagePassing):def__init__(self,F_in,F_out):super(EdgeConv,self).__init__(aggr='max')# "Max" aggregation.self.mlp=Seq(Lin(2*F_in,F_out),ReLU(),Lin(F_out,F_out))deffor...
PyG(PyTorch Geometric)is a library built uponPyTorchto easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data. It consists of various methods for deep learning on graphs and other irregular structures, also known asgeometric deep learning, ...
PyTorch Geometric 使实现图卷积网络变得非常容易 (请参阅 GitHub 上的教程)。 例如,这就是实现一个边缘卷积层 (edge convolution layer) 所需的全部代码: import torch from torch.nn import Sequential as Seq, Linear as Lin, ReLU from torch_geometric.nn import MessagePassing class EdgeConv(MessagePassing)...
1.PyG的github地址 https://github.com/pyg-team/pytorch_geometric 2.切忌直接pip安装,我们需要找到下图这个位置,再点击here。 3. 这里回顾 https://mp.weixin.qq.com/s?__biz=MzkyNjUwMzQ5Mg==&mid=2247486321&idx=1&sn=9105f963baa43a979e12a1d13788e59f&chksm=c2370c5af540854caa673fbb9a54953430bc081c5...
而PyTorch Geometric Library (简称 PyG) 是一个基于 PyTorch 的图神经网络库,地址是:https://github.com/rusty1s/pytorch_geometric。它包含了很多 GNN 相关论文中的方法实现和常用数据集,并且提供了简单易用的接口来生成图,因此对于复现论文来说也是相当方便。用法大多数和 PyTorch 很相近,因此熟悉 PyTorch 的同学...
您已经了解了PyTorch Geometric的基本用法,包括数据集构造,自定义图层以及使用真实数据训练GNN。 这篇文章中的所有代码也可以在我的Github仓库中找到。 https://github.com/khuangaf/Pytorch-Geometric-YooChoose 原文链接: https://towardsdatascience.com/hands-on-graph-neural-networks-with-pytorch-pytorch-geometric-...
PyTorch Geometric是一个相当流行的库,它在GitHub 上有 13,000 多颗星,为所有有 PyTorch 经验的人提供了方便熟悉的 API。我们将介绍每个API,并对Zitnik 和 Leskovec 2017 年论文中蛋白质与蛋白质相互作用 (protein-protein interaction, PPI) 数据集中的等效 GNN 架构进行基准测试。
PyTorch Geometric(PyG) is a geometric deep learning extension library forPyTorch. It consists of various methods for deep learning on graphs and other irregular structures, also known asgeometric deep learning, from a variety of published papers. In addition, it consists of an easy-to-use mini-...
PyG用torch_geometric.data.Data保存图结构的数据,导入的data(这个data指的是你导入的具体数据,不是前面那个torch_geometric.data)在PyG中会包含以下属性 data.x:图节点的属性信息,比如社交网络中每个用户是一个节点,这个x可以表示用户的属性信息,维度为[num_nodes,num_node_features] ...