Must-read papers on graph neural networks (GNN)
翻译 - 关于图神经网络(GNN)的必读论文
#计算机科学#PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
翻译 - PyTorch Geometric的时间扩展库
#计算机科学#TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
翻译 - TensorFlow GNN 是一个在 TensorFlow 平台上构建图神经网络的库。
An Industrial Graph Neural Network Framework
翻译 - 图学习
#计算机科学#A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
翻译 - “胶囊图神经网络”的PyTorch实现(ICLR 2019)。
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
#算法刷题#Programmable CUDA/C++ GPU Graph Analytics
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
#计算机科学#A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
翻译 - PyTorch实现的“ SimGNN:一种用于快速图相似度计算的神经网络方法”(WSDM 2019)。
#计算机科学#A repository of pretty cool datasets that I collected for network science and machine learning research.
Code and resources on scalable and efficient Graph Neural Networks
翻译 - Efficient Graph Neural Networks - 论文和项目的精选列表
🍇 A C++ library for parallel graph processing (GRAPE) 🍇
#计算机科学#A PyTorch Graph Neural Network Library
#计算机科学#PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).
#自然语言处理#1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.
Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.
[NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch