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 11 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
- Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting☆68Updated 4 years ago
- Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit☆31Updated 4 years ago
- CNN-Bidirectional LSTM network to forecast long term traffic flow in Madrid.☆25Updated last year
- ☆18Updated 6 years ago
- Taxi Origin-Destination Demand Prediction☆53Updated 4 years ago
- traffic flow prediction☆24Updated 2 years ago
- Dynamic Origin-Destination Matrix Prediction with Line Graph Neural Networks and Kalman Filter☆16Updated 5 years ago
- Paper STGAT: Spatial-Temporal Graph Attention Networks for Traffic Flow Forecasting☆18Updated 3 years ago
- Dynamic Attention And Trajectory Cognition Based Graph Convolution Network For Traffic Flow Forecasting☆14Updated 2 years ago
- ☆42Updated 3 years ago
- Source code of implementing spatial-temporal zero-inflated negative binomial network for trip demand prediction☆25Updated 3 years ago
- Graph Neural Networks utilization for Spatiotemporal graphs. These methods will be applied into the problem of forecasting traffic flow o…☆22Updated 4 years ago
- Temporal matrix factorization for sparse traffic time series forecasting.☆57Updated last month
- [ICDE'20] Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network (Pytorch Replication)☆21Updated 4 years ago
- Graph Markov Network for Traffic Forecasting with Missing Data☆29Updated 4 years ago
- ☆44Updated 4 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
- This repository provides an open source implementation of the Spatio-Temporal GAT introduced by Zhang et al in "Spatial-Temporal Graph At…☆96Updated 2 years ago
- Improved Transformer based on Tensoflow implementation for traffic flow predictive modeling☆19Updated 3 years ago
- [ECMLPKDD21] Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19☆30Updated last year
- Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction☆42Updated 2 years ago
- ☆91Updated 2 years ago
- Code for tasks on Cainiao-LaDe (Last-mile Delivery dataset).☆67Updated 7 months ago
- The code of AAAI2021 paper of HGCN for Traffic Forecasting☆95Updated 2 years ago
- codes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction☆74Updated 3 years ago
- Using to predict the highway traffic speed☆31Updated 3 months ago