urban-computing topic
Spatio-Temporal-papers
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.
TomboloDigitalConnector
The Tombolo Digital Connector enables users to combine different sources of data in a transparent and reproducible way.
research_spatio-temporal-data-mining
A collection of research on spatio-temporal data mining
DASTNet
Source codes of CIKM2022 Full Paper "Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities"
STWave
[ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
ST-SiameseNet
ST-SiameseNet (KDD'20)
AutoST
[WWW'2023] "AutoST: Automated Spatio-Temporal Graph Contrastive Learning"
GraphST
[ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"
SHARE-parking_availability_prediction-Pytorch
Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction
GPT-ST
[NeurIPS'2023] "GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks"