当然,如果你的团队更喜欢 Julia 而不是 Python,你可能更希望着眼于GeometricFlux.jl或GraphNeuralNetworks.jl,它们都基于 Flux.jl 机器学习生态系统。 使用Julia 编写的其他工具和 Julia 编程语言本身一样,GeometricFlux.jl 和 GraphNeuralNetworks.jl 并不像更成熟的 Python 同类工具那样知名,并且其对应的社区更加小众...
Graph Neural Network Library for PyTorch. Contribute to pyg-team/pytorch_geometric development by creating an account on GitHub.
Breadcrumbs pytorch_geometric /benchmark /kernel / graph_sage.pyTop File metadata and controls Code Blame 77 lines (66 loc) · 2.56 KB· Raw import torch import torch.nn.functional as F from torch.nn import Linear from torch_geometric.nn import JumpingKnowledge, SAGEConv, global_add_pool ...
PyG (PyTorch Geometric) is a library built upon PyTorch to 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 as geometric deep lea...
PyTorch Geometric教程(一)介绍 为什么要开图神经网络 (GNN) 的新坑? 组合优化中有一种问题叫路由问题 (routing problem), 代表是旅行商人问题 (Travelling Salesman Problem). 而这类问题, 本身的数据结构就是图 (Graph) … Bruce发表于机器学习与... 图神经网络 PyTorch Geometric 入门教程 张贤同学发表于技术...
In the first glimpse of PyG, we implement the training of a GNN for classifying papers in a citation graph. For this, we load the Cora dataset, and create a simple 2-layer GCN model using the pre-defined GCNConv: import torch from torch import Tensor from torch_geometric.nn import GCN...
PyTorch Geometric makes implementing Graph Neural Networks a breeze (seeherefor the accompanying tutorial). For example, this is all it takes to implement theedge convolutional layer: importtorchfromtorch.nnimportSequentialasSeq, LinearasLin, ReLUfromtorch_geometric.nnimportMessagePassingclassEdgeConv(Messa...
PyTorch Geometric, Deep Learning Extension PyTorch Geometric Temporal: A Temporal Extension Library for PyTorch Geometric Self-Attention Graph Pooling Position-aware Graph Neural Networks Capsule Graph Neural Network Splitter: Learning Node Representations that Capture Multiple Social Contexts ...
图神经网络(GNN)目前的主流实现方式就是节点之间的信息汇聚,也就是类似于卷积网络的邻域加权和,比如图卷积网络(GCN)、图注意力网络(GAT)等。下面根据GCN的实现原理使用Pytorch张量,和调用torch_geometric包,分别对Cora数据集进行节点分类实验。 Cora是关于科学文献之间引用关系的图结构数据集。数据集包含一个图,图中包...
Geometric Deep Learning: Graph & Irregular Structures PyTorch Geometric, Deep Learning Extension PyTorch Geometric Temporal: A Temporal Extension Library for PyTorch Geometric PyTorch Geometric Signed Directed: A Signed & Directed Extension Library for PyTorch Geometric ...