underdoc-wang / MPGCN
[ICDE'20] Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network (Pytorch Replication)
☆20Updated 3 years ago
Alternatives and similar repositories for MPGCN:
Users that are interested in MPGCN are comparing it to the libraries listed below
- Source code of implementing spatial-temporal zero-inflated negative binomial network for trip demand prediction☆25Updated 3 years ago
- [ECMLPKDD21] Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19☆31Updated last year
- Code for the paper "Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convol…☆15Updated 4 years ago
- Taxi Origin-Destination Demand Prediction☆53Updated 4 years ago
- Traffic Flow Prediction with Vehicle Trajectories☆68Updated 3 years ago
- ☆40Updated 2 years ago
- The benchmark related to the survey: An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques☆28Updated last year
- AAAI 2021. GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting☆32Updated last year
- When Will We Arrive? A Novel Multi-Task Spatio-Temporal Attention Network Based on Individual Preference for Estimating Travel Time☆35Updated last year
- The code of Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction☆14Updated 2 years ago
- ☆15Updated last year
- ☆49Updated 2 years ago
- Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit☆29Updated 4 years ago
- ☆16Updated 2 years ago
- Code for Paper "Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction"☆20Updated 2 years ago
- This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"☆35Updated 2 years ago
- [CIKM 2021 Resource Paper] DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction (Grid Part)☆52Updated 2 years ago
- Machine learning for transportation data imputation and prediction.☆40Updated 5 years ago
- The codes and data of paper "Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction"☆26Updated last year
- ☆22Updated 2 years ago
- An end-to-end deep learning model for spatial-temporal prediction☆34Updated 3 years ago
- code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"☆53Updated 2 years ago
- ☆10Updated 3 years ago
- Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting☆68Updated 4 years ago
- ☆38Updated 2 years ago
- This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at☆25Updated last year
- Implementation code for the Time-Aware Location Embedding (TALE) model, proposed in the TKDE paper "Pre-Training Time-Aware Location Embe…☆16Updated 5 months ago
- ☆48Updated 5 years ago
- Dynamic Origin-Destination Matrix Prediction with Line Graph Neural Networks and Kalman Filter☆13Updated 5 years ago
- Map-Constrained Trajectory Recovery (KDD'21)☆56Updated 2 years ago