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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
325 commits to master branch, last one 4 months ago
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
location
paper-list
time-series
deep-learning
spatio-temporal
anomaly-detection
accident-detection
demand-forecasting
traffic-prediction
probabilistic-models
spatio-temporal-data
time-series-imputation
time-series-prediction
travel-time-prediction
multivariate-timeseries
time-series-forecasting
spatio-temporal-modeling
spatio-temporal-prediction
Created
2022-03-24
838 commits to main branch, last one about a month ago
GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAAI-2020.
Created
2019-11-19
74 commits to master branch, last one 3 years 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
Summary of open source code for deep learning models in the field of traffic prediction
libcity
traffic
on-demand
open-code
paper-list
open-source
deep-learning
spatio-temporal
on-demand-service
traffic-prediction
graph-neural-networks
trajectory-prediction
time-series-prediction
travel-time-prediction
traffic-flow-prediction
traffic-speed-prediction
estimated-time-of-arrival
spatio-temporal-prediction
traffic-accident-prediction
graph-convolutional-networks
Created
2020-12-26
49 commits to master branch, last one 2 years 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
[AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.
Created
2022-11-19
11 commits to master branch, last one about a year ago
Paper list in traffic prediction field
Created
2021-05-28
31 commits to master branch, last one 9 months ago
Traffic data processing tools in LibCity
Created
2021-01-25
170 commits to master branch, last one about a year ago
[IJCAI-24] Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting
Created
2022-11-29
166 commits to main branch, last one 18 days ago
A collection of research on spatio-temporal data mining
Created
2020-08-21
66 commits to master branch, last one 3 months ago
Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.
Created
2020-11-25
58 commits to main branch, last one 4 months ago
Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.
Created
2021-07-19
26 commits to master branch, last one 9 months ago
[Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting
Created
2022-11-19
62 commits to main branch, last one 4 months ago
Organize some grid-based traffic flow datasets, mainly New York City bicycle and taxi data
Created
2021-06-30
2 commits to master branch, last one 3 years ago
[CIKM'2023] "STExplainer: Explainable Spatio-Temporal Graph Neural Networks"
Created
2023-09-13
9 commits to main branch, last one 10 months 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 2 years ago
[SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective
Created
2024-12-13
10 commits to main branch, last one 4 months ago
[Neural Networks] RGDAN: A random graph diffusion attention network for traffic prediction
Created
2024-01-28
13 commits to main branch, last one 4 months ago
Traffic prediction with graph neural network using PyTorch Geometric. The implementation uses the MetaLayer class to build the GNN which allows for separate edge, node and global models.
Created
2023-02-13
86 commits to main branch, last one about a year ago
In 2021, a precise forecast of Iran Post's 2021-2022 income was achieved using ARIMA, with only a 1.5\% error. This approach was subsequently extended to estimate the income and traffic for 2022-2023.
Created
2022-07-27
10 commits to main branch, last one 2 years ago