RiccardoSpolaor / Verbal-Explanations-of-Spatio-Temporal-Graph-Neural-Networks-for-Traffic-ForecastingLinks
An eXplainable AI system to elucidate short-term speed forecasts in traffic networks obtained by Spatio-Temporal Graph Neural Networks.
☆20Updated last year
Alternatives and similar repositories for Verbal-Explanations-of-Spatio-Temporal-Graph-Neural-Networks-for-Traffic-Forecasting
Users that are interested in Verbal-Explanations-of-Spatio-Temporal-Graph-Neural-Networks-for-Traffic-Forecasting are comparing it to the libraries listed below
Sorting:
- Dynamic Origin-Destination Matrix Prediction with Line Graph Neural Networks and Kalman Filter☆18Updated 5 years ago
- Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.☆143Updated 7 months ago
- Graph Markov Network for Traffic Forecasting with Missing Data☆30Updated 4 years ago
- Transportation data online prediction☆50Updated 4 years ago
- The pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network☆141Updated 4 months ago
- This is the repository for the collection of Deep Learning for Traffic Prediction Problems.☆232Updated last year
- codes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction☆74Updated 3 years ago
- ☆9Updated 3 months ago
- ☆123Updated 2 years ago
- Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit☆33Updated 5 years ago
- ☆93Updated 3 years ago
- This repository provides an open source implementation of the Spatio-Temporal GAT introduced by Zhang et al in "Spatial-Temporal Graph At…☆100Updated 2 years ago
- [ECMLPKDD21] Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19☆30Updated 2 years ago
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆221Updated 4 years ago
- Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting☆71Updated 4 years ago
- Source code of implementing spatial-temporal zero-inflated negative binomial network for trip demand prediction☆25Updated 3 years ago
- Multi-sensor traffic flow forecasting.☆14Updated 3 years ago
- ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction☆185Updated 7 months ago
- ☆42Updated 3 years ago
- ☆39Updated 3 years ago
- Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution, TKDD 2023☆306Updated 4 years ago
- Traffic Flow Prediction with Vehicle Trajectories☆72Updated 4 years ago
- Deep Learning for Spatio-Temporal Data☆67Updated 8 years ago
- [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)☆93Updated 4 years ago
- ☆9Updated 3 years ago
- ☆15Updated last year
- The repo for the ITSC 2022 paper "Forecasting Regional Multimodal Transportation Demand with Graph Neural Networks: An Open Dataset"☆22Updated 2 years ago
- Pytorch implementation of Spatoi-temporal Differential Equation Network (STDEN).☆39Updated 2 years ago
- 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
- Using to predict the highway traffic speed☆34Updated 5 months ago