DanieleGammelli / variational-poisson-rnnLinks
Official implementation of "Predictive and Prescriptive Performance of Bike-Sharing Demand Forecasts for Inventory Management"
☆20Updated 3 years ago
Alternatives and similar repositories for variational-poisson-rnn
Users that are interested in variational-poisson-rnn are comparing it to the libraries listed below
Sorting:
- Multistep Traffic Forecasting by Dynamic Graph Convolution: Interpretations of Real-Time Spatial Correlations☆16Updated 10 months ago
- Transportation data online prediction☆50Updated 4 years ago
- The repo for the ITSC 2022 paper "Forecasting Regional Multimodal Transportation Demand with Graph Neural Networks: An Open Dataset"☆22Updated 2 years ago
- Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit☆30Updated 4 years ago
- Source code of implementing spatial-temporal zero-inflated negative binomial network for trip demand prediction☆25Updated 3 years ago
- ☆44Updated 3 years ago
- ☆18Updated 6 years ago
- Dynamic Origin-Destination Matrix Prediction with Line Graph Neural Networks and Kalman Filter☆15Updated 5 years ago
- Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting☆69Updated 4 years ago
- Graph Markov Network for Traffic Forecasting with Missing Data☆29Updated 4 years ago
- Discovering dynamic patterns from spatiotemporal data with time-varying low-rank autoregression. (IEEE TKDE'24)☆20Updated 5 months ago
- Graph Neural Networks utilization for Spatiotemporal graphs. These methods will be applied into the problem of forecasting traffic flow o…☆20Updated 4 years ago
- Taxi Origin-Destination Demand Prediction☆53Updated 4 years ago
- ☆42Updated 3 years ago
- [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)☆93Updated 4 years ago
- An end-to-end deep learning model for spatial-temporal prediction☆35Updated 3 years ago
- Code for tasks on Cainiao-LaDe (Last-mile Delivery dataset).☆64Updated 6 months ago
- In this project I developed LSTM models for uni-variate , multivariate , multi-step time series forecasting.☆11Updated 5 years ago
- RiccardoSpolaor / Verbal-Explanations-of-Spatio-Temporal-Graph-Neural-Networks-for-Traffic-ForecastingAn eXplainable AI system to elucidate short-term speed forecasts in traffic networks obtained by Spatio-Temporal Graph Neural Networks.☆19Updated last year
- Time-series demand forecasting is constructed by using LSTM, GRU, LSTM with seq2seq architecture, and prophet models.☆30Updated 4 years ago
- ☆19Updated 4 years ago
- Temporal matrix factorization for sparse traffic time series forecasting.☆56Updated 3 weeks ago
- ☆25Updated 4 years ago
- [ICDE'20] Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network (Pytorch Replication)☆21Updated 4 years ago
- Traffic Flow Prediction with Vehicle Trajectories☆69Updated 4 years ago
- Dynamic Attention And Trajectory Cognition Based Graph Convolution Network For Traffic Flow Forecasting☆14Updated 2 years ago
- Improved Transformer based on Tensoflow implementation for traffic flow predictive modeling☆19Updated 3 years ago
- Multi-sensor traffic flow forecasting.☆14Updated 2 years ago
- traffic flow prediction☆24Updated 2 years ago
- ☆91Updated 2 years ago