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LibCity: An Open Library for Urban Spatial-temporal Data Mining
eta
libcity
toolkit
traffic
od-matrix
map-matching
deep-learning
spatio-temporal
on-demand-service
traffic-prediction
traffic-forecasting
trajectory-prediction
pytorch-implementation
time-series-prediction
representation-learning
traffic-flow-prediction
traffic-speed-prediction
estimated-time-of-arrival
spatio-temporal-prediction
traffic-accident-prediction
Created
2020-12-12
324 commits to master branch, last one 7 days ago
A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.
Created
2022-02-21
544 commits to master branch, last one a day ago
Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.
Created
2022-02-08
71 commits to github branch, last one 11 months ago
Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).
Created
2020-09-06
109 commits to master branch, last one about a year ago
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.
Created
2020-03-11
156 commits to master branch, last one 3 years ago
Paper list in traffic prediction field
Created
2021-05-28
31 commits to master branch, last one 4 months ago
Code for our CIKM'22 paper Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting.
Created
2022-05-29
21 commits to master branch, last one 2 months ago
Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.
Created
2022-01-04
15 commits to github branch, last one 2 years ago
ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction
aaai
adaptive
fairness
robustness
data-mining
data-augmentation
graph-augmentation
location-embedding
traffic-forecasting
contrastive-learning
spatio-temporal-data
graph-neural-networks
representation-learning
robust-machine-learning
traffic-flow-prediction
self-supervised-learning
spatio-temporal-prediction
Created
2022-12-02
17 commits to main branch, last one 3 days ago
"Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022
Created
2021-09-05
11 commits to main branch, last one 2 months ago
Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.
Created
2020-11-25
56 commits to main branch, last one 2 years ago
[AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"
Created
2022-11-21
124 commits to main branch, last one 11 months ago
STGM: Spatio-Temporal Graph Mixformer for Traffic Forecasting
Created
2022-10-14
22 commits to main branch, last one about a year ago
[ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
Created
2022-07-24
22 commits to main branch, last one 7 months ago
[Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting
Created
2022-11-19
61 commits to main branch, last one 5 months ago
[CIKM 2023] This is the official source code of "TrendGCN: Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting" based on Pytorch.
Created
2022-06-30
28 commits to master branch, last one about a year ago
[CIKM 2022] Source codes of CIKM2022 Full Paper "Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities"
Created
2021-12-15
34 commits to master branch, last one about a year ago