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adapgl-pytorch

astgnn

This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/9346058.

basicts

An Open Source Standard Time Series Forecasting Benchmark.

colight

CoLight: Learning Network-level Cooperation for Traffic Signal Control

fedgru

gcn_predict-pytorch

Traffic flow predict. Implementation of graph convolutional network with PyTorch

hgcn

The code of AAAI2021 paper of HGCN for Traffic Forecasting

hgnn

Hypergraph Neural Networks (AAAI 2019)

ignnk

kp-gnn

Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)

ml-in-action-code-and-note

:chart_with_upwards_trend:Machine Learning code in Python3.x. （机器学习实战 py3代码整理）Some notes about the practices:（for reference only）

normnet

pclgcn

polla

The official implementation of POLLA.

reinforcement-learning-on-graphs-a-survey

This collection of papers can be used to summarize research about graph reinforcement learning for the convenience of researchers.

resume-chinese

中文LaTeX简历模板

st-ae

stid

Code for our CIKM'22 short paper Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting.

sumo-rl

Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.

tint

[Information Fusion] "Integrating the Urban Science with Deep Learning for City-wide Network Congestion Prediction" by Wenqing Zheng, Hao (Frank) Yang, Jiarui Cai, Peihao Wang, Xuan Jiang, Simon Du, Yinhai Wang, and Zhangyang Wang

traffic-flow-baseline

[This repo will NOT be maintained until further notice. Sorry for the inconvencience.] Baselines for Traffic Flow Prediction. (HA, ARIMA, VAR, SVR, FNN, FC-LSTM)

traffic-prediction-open-code-summary

Summary of open source code for deep learning models in the field of traffic prediction