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adaptive-graph-convolutional-network

agcrn

Adaptive Graph Convolutional Recurrent Network

antifraud

A repository for financial fraud detection

astgcn

⚠️[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch

cross-gcn

Cross-GCN: Enhancing Graph Convolutional Network with k-Order Feature Interactions

d2stgnn

Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.

dcrnn

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

deep-learning

《深度学习入门-基于Python的理论与实现》，包含源代码和高清PDF(带书签)；慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》；《菜菜的机器学习sklearn》

dstagnn

DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.

gcn_predict-pytorch

Traffic flow predict. Implementation of graph convolutional network with PyTorch

gnn-lspe

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

gnn4traffic

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

graph-convolutional-hawkes-processes-gchp

hp-gmn

learn-web-hacking

Study Notes For Web Hacking / Web安全学习笔记

leedl-tutorial

《李宏毅深度学习教程》（李宏毅老师推荐👍），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

megacrn

[AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"

neural_stpp

Deep generative modeling for time-stamped heterogeneous data, enabling high-fidelity models for a large variety of spatio-temporal domains.

pgnns

p-Laplacian Based Graph Neural Networks (ICML'2022)

prml

PRML algorithms implemented in Python

pygat

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

pytorch-agnn

Pytorch implementation of the Attention-based Graph Neural Network(AGNN)

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch_sru

SRU implement in pytorch（Training RNNs as Fast as CNNs）

release-channel-master

Ryujinx's Release channel: master

sast-gnn

An implementation of SAST-GNN

seaborn-data

Data repository for seaborn examples

stemgnn

Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting

stfgnn

Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)

stghtn