Reconstruction of DeepST
☆112Jan 1, 2020Updated 6 years ago
Alternatives and similar repositories for DeepST
Users that are interested in DeepST are comparing it to the libraries listed below
Sorting:
- A Pytorch Implementation of STResNet, AAAI 2017☆23Dec 17, 2020Updated 5 years ago
- Pytorch Implementation of Urban Flow Magnifier (UrbanFM), KDD-19☆76May 3, 2021Updated 4 years ago
- A TensorFlow Implementation of Deep Spatio-Temporal Residual Networks (ST-ResNet): https://arxiv.org/abs/1610.00081☆111Sep 30, 2021Updated 4 years ago
- Implementation code for the model Diffusion-based Origin-destination Travel Time Estimation (DOT), proposed in the SIGMOD 2024 paper "Ori…☆21Sep 28, 2024Updated last year
- GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAA…☆526Apr 12, 2022Updated 3 years ago
- The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"☆14May 18, 2019Updated 6 years ago
- Attentive Traffic Flow Machines☆60Oct 16, 2020Updated 5 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆444Feb 4, 2020Updated 6 years ago
- Dynamic Switch-Attention Network☆20Aug 25, 2021Updated 4 years ago
- Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch☆542Jul 17, 2024Updated last year
- a pytorch version implement of paper "Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning"☆13Jul 19, 2022Updated 3 years ago
- This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…☆255Jul 1, 2021Updated 4 years ago
- [CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation☆25Nov 25, 2023Updated 2 years ago
- Travel Time Prediction Based on Tensor Decomposition and Graph Embedding☆29Dec 25, 2020Updated 5 years ago
- Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow☆1,383Dec 9, 2024Updated last year
- AAAIA2020-Accident Forecasting Experiments Setups☆40Nov 19, 2020Updated 5 years ago
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆227Jan 26, 2021Updated 5 years ago
- This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic…☆251Jul 27, 2023Updated 2 years ago
- Code for our Spatiotemporal Dynamic Network☆292Apr 28, 2019Updated 6 years ago
- ☆16Nov 28, 2022Updated 3 years ago
- The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"☆215Jul 6, 2023Updated 2 years ago
- Organize some grid-based traffic flow datasets, mainly New York City bicycle and taxi data☆57Jun 30, 2021Updated 4 years ago
- Foundation Model for Probabilistic Electricity Price Forecasting☆18Sep 29, 2025Updated 5 months ago
- Spatio-Temporal Graph Convolutional Networks☆111Apr 19, 2019Updated 6 years ago
- Codes for RiskSeq-TKDE☆21Nov 19, 2020Updated 5 years ago
- [CIKM 2021 Resource Paper] DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction (Grid Part)☆59Aug 21, 2022Updated 3 years ago
- implementation of STGCN for traffic prediction in IJCAI2018☆115Jun 12, 2019Updated 6 years ago
- graph wavenet☆778Mar 14, 2022Updated 3 years ago
- AAAI 2021. GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting☆37Apr 13, 2023Updated 2 years ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version☆717Jul 13, 2021Updated 4 years ago
- Map matching for the cities in China☆10Nov 26, 2019Updated 6 years ago
- Crawl traffic data from PEMS☆10Jul 19, 2021Updated 4 years ago
- ⚠️[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch☆425Jun 28, 2019Updated 6 years ago
- The codes and data of paper "Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction"☆25Jul 6, 2023Updated 2 years ago
- [AAAI 2019] DeepSTN+: Context-aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis☆65Apr 10, 2020Updated 5 years ago
- ☆42Mar 30, 2022Updated 3 years ago
- Implementation of the paper - Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction☆49Nov 20, 2022Updated 3 years ago
- Traffic Graph Convolutional Recurrent Neural Network☆412Dec 11, 2019Updated 6 years ago
- Summary of open source code for deep learning models in the field of traffic prediction☆278Nov 17, 2022Updated 3 years ago