[KDD'2024] "UrbanGPT: Spatio-Temporal Large Language Models"
-
Updated
Jun 10, 2024 - Python
[KDD'2024] "UrbanGPT: Spatio-Temporal Large Language Models"
[ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
[NeurIPS'2023] "GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks"
[WWW'2023] "AutoST: Automated Spatio-Temporal Graph Contrastive Learning"
Source codes of CIKM2022 Full Paper "Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities"
[ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"
Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction
[ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"
[CIKM'2023] "CL4ST: Spatio-Temporal Meta Contrastive Learning"
STCF: Spatial-Temporal Contrasting for Fine-Grained Urban Flow inference. IEEE Transactions on Big Data, 2023.
Repository for ''Contextualizing MLP-Mixers Spatiotemporally for Urban Data Forecast at Scale''
OpenAI-gym-like Reinforcement Learning environment for Dispatching of Mobile Chargers with SUMO. Compatible with Gym and popular RL libraries such as stable-baselines3.
Official repository for the paper "Back to the Future: GNN-based NO2 Forecasting via Future Covariates" accepted for publication at the IEEE IGARSS 2024
Add a description, image, and links to the urban-computing topic page so that developers can more easily learn about it.
To associate your repository with the urban-computing topic, visit your repo's landing page and select "manage topics."