Knowledge-Precipitation-Tribe / Spatio-Temporal-papersLinks
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.
☆245Updated 2 years ago
Alternatives and similar repositories for Spatio-Temporal-papers
Users that are interested in Spatio-Temporal-papers are comparing it to the libraries listed below
Sorting:
- [TKDD 2023] Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution☆306Updated 4 years ago
- A collection of research on spatio-temporal data mining☆156Updated 7 months ago
- Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.☆143Updated 8 months ago
- This is the repository for the collection of Deep Learning for Traffic Prediction Problems.☆233Updated last year
- Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using hist…☆298Updated last year
- [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)☆93Updated 4 years ago
- The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"☆209Updated 2 years ago
- Attentive Traffic Flow Machines☆58Updated 4 years ago
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆220Updated 4 years ago
- Summary of open source code for deep learning models in the field of traffic prediction☆268Updated 2 years ago
- The task is to restate a thesis and redo the experiment following the instructions in the paper.☆71Updated 4 years ago
- ☆93Updated 3 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆410Updated 5 years ago
- Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch☆515Updated last year
- Paper list in traffic prediction field☆224Updated last year
- Reconstruction of DeepST☆106Updated 5 years ago
- Organize some grid-based traffic flow datasets, mainly New York City bicycle and taxi data☆56Updated 4 years ago
- Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.☆135Updated last year
- Deep Learning for Spatio-Temporal Data☆67Updated 8 years ago
- ☆123Updated 2 years ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019☆239Updated 6 years ago
- GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAA…☆487Updated 3 years ago
- This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…☆233Updated 4 years ago
- Code snippets of ST-ResNet by PyTorch☆66Updated 5 years ago
- [AAAI 2019] DeepSTN+: Context-aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis☆66Updated 5 years ago
- Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal…☆148Updated 4 years ago
- [ECMLPKDD21] Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19☆30Updated 2 years ago
- Traffic data processing tools in LibCity☆218Updated 2 years ago
- Machine learning for transportation data imputation and prediction.☆40Updated 5 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆50Updated 2 years ago