[IJCNN 2021] Unified Spatio-Temporal modeling for traffic forecasting using Graph Convolutional Network
☆36Sep 15, 2024Updated last year
Alternatives and similar repositories for USTGCN
Users that are interested in USTGCN are comparing it to the libraries listed below
Sorting:
- Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting☆74Oct 27, 2020Updated 5 years ago
- [PAKDD 2021] SST-GNN: Simplified Spatio-temporal Traffic forecasting model using Graph Neural Network☆40Sep 15, 2024Updated last year
- ☆14Aug 18, 2021Updated 4 years ago
- ☆11Oct 28, 2021Updated 4 years ago
- code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"☆60Dec 5, 2022Updated 3 years ago
- ☆67Jan 23, 2022Updated 4 years ago
- ☆45May 27, 2022Updated 3 years ago
- ☆11Mar 30, 2022Updated 3 years ago
- source code of paper 'Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search Based on Reinforcement Learning and Exis…☆11Jan 26, 2021Updated 5 years ago
- Spatial-Temporal Self-Attention Network☆25Aug 25, 2021Updated 4 years ago
- Official repo to paper☆13Jan 15, 2023Updated 3 years ago
- Code for Nature paper, causality of nodal time-series observations.☆10Feb 28, 2024Updated 2 years ago
- The codes and data of paper "Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks"☆34Feb 16, 2020Updated 6 years ago
- ☆47Sep 2, 2022Updated 3 years ago
- Graph Markov Network for Traffic Forecasting with Missing Data☆30Sep 15, 2020Updated 5 years ago
- Spatial-Temporal Graph ODE Neural Network☆126Jan 18, 2022Updated 4 years ago
- ☆13May 10, 2018Updated 7 years ago
- Learning Multiaspect Traffic Couplings by Multirelational Graph Attention Networks for Traffic Prediction☆13Oct 7, 2022Updated 3 years ago
- 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
- ☆13Mar 29, 2022Updated 3 years ago
- ☆15Jun 8, 2021Updated 4 years ago
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆228Jan 26, 2021Updated 5 years ago
- Implementation of STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting☆32Jul 27, 2020Updated 5 years ago
- An end-to-end deep learning model for spatial-temporal prediction☆35Jan 2, 2022Updated 4 years ago
- This is the repository of our accepted CIKM 2022 paper "Prediction-based One-shot Dynamic Parking Pricing".☆17Aug 22, 2024Updated last year
- This is the repository for the collection of Graph Neural Network for Traffic Forecasting.☆1,194Aug 7, 2024Updated last year
- ☆14Jan 25, 2023Updated 3 years ago
- ☆19Apr 17, 2022Updated 3 years ago
- Sensor data of a renowned power plant has given by a reliable source to forecast some feature. Initially the work has done with KNIME sof…☆18Mar 25, 2023Updated 2 years ago
- The pytorch implementation of ST-GRAT: A Novel Spatio-temporal Graph Attention Network for Accurately Forecasting Dynamically Changing Ro…☆42Jun 3, 2021Updated 4 years ago
- This is code for 3D Dynamic Graph Convolutional Networks for Crowd Flow Prediction☆19Jul 16, 2019Updated 6 years ago
- ☆16Apr 6, 2022Updated 3 years ago
- Code and Datasets for the paper "Combining structured and unstructured data for predictive models: a deep learning approach", published o…☆18Aug 15, 2020Updated 5 years ago
- This is the repository for the collection of Deep Learning for Traffic Prediction Problems.☆232Oct 25, 2023Updated 2 years ago
- Repo for CrossTReS: Cross-city Transfer Learning for Traffic Prediction via Source Region Selection☆18Dec 13, 2022Updated 3 years ago
- Curated List of papers on Time Series Analysis☆17Sep 22, 2020Updated 5 years ago
- [TKDD 2023] Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution☆327May 24, 2021Updated 4 years ago
- [CIKM 2023] This is the official source code of "TrendGCN: Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal E…☆50Aug 11, 2023Updated 2 years ago
- A study of distance measures and learning methods for semi-supervised learning on time series data☆17Jun 23, 2021Updated 4 years ago