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 (TNNLS 2023)
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).
Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.
#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.
[NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch