A python package for the automated graph theory analysis of structural network images

《深入浅出图神经网络：GNN原理解析》配套代码

图神经网络相关算法详述及实现

resources for graph convolutional networks （图卷积神经网络相关资源）

图神经网络(图卷积网络) 个人学习总结

基于图神经网络的机械故障诊断

Pytorch-基于GCN/GAT/Chebnet图神经网络实现的交通流预测

汇总常见的图神经网络模型

图神经网络入门学习

《图神经网络：基础与前沿》相关资料

图神经网络(GNN)学习笔记

图神经网络、图卷积网络、图注意力网络、图自编码网络、时空图神经网络等论文合集。

Inductive Graph-Based Long Short-Term Memory Network for the Prediction of Nonlinear Floor Responses and Member Forces of Steel Buildings Subjected to Orthogonal Horizontal Ground Motions

House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation

Graph Convolutional Networks in PyTorch

🟠 A study guide to learn about Graph Neural Networks (GNNs)

Curated papers on survey paper "deep learning and foundation models for weather prediction".

A Hybrid GNN Approach for Improved Molecular Property Prediction

implementation of a hybrid method coupling ISPH and graph neural network(GNN) for free surface flows

Implemented a Physics-Informed Graph Neural Network (GNN) inspired by Google DeepMind’s research to simulate particle dynamics with high accuracy (96.2%). The model leverages PyTorch, GNNs, and tra…

🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统

Repository for the ES paper "Structural nonlinear seismic time-history response prediction of urban-scale reinforced concrete frames based on deep learning"

Open source implementation of "StructureGraph: A universal performance evaluation method for engineering structures via heterogeneous graph neural network"

PyTorch Extension Library of Optimized Graph Cluster Algorithms

A repository for structural GNN

Graph Neural Network Library for PyTorch

PyTorch示例代码；复现GNN模型

Code and resources for "Assessing progressive collapse regions of reinforced concrete frame structures using Graph Convolutional Networks" (Engineering Structures)

Parameterized Explainer for Graph Neural Network