Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle

Paper Lists for Graph Neural Networks

This is the repository for the collection of Graph Neural Network for Traffic Forecasting.

吴恩达老师的机器学习课程个人笔记

links to conference publications in graph-based deep learning

This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

Graph Convolutional Networks in PyTorch

《计算机网络－自顶向下方法(原书第6版)》编程作业，Wireshark实验文档的翻译和解答。

Spatio-temporal modeling 论文列表（主要是graph convolution相关)

The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"

收集所有区块链(BlockChain)技术开发相关资料，包括Fabric和Ethereum开发资料

Spatio-Temporal Graph Convolutional Networks

A curated list of academic blockchain-related papers

MIT 6.828 Lab https://pdos.csail.mit.edu/6.828/2018/schedule.html

区块链 - 中文资源

pytorch implemention of trajGRU.

🚗 Implementation of spatio-temporal graph convolutional network with PyTorch

读研不迷茫。。。。

Solution to homework and assignments from MIT's 6.828 (Operating Systems Engineering).